PRICING • CURATED
Paid AI Tools
These tools require a paid subscription or usage-based pricing. Typically offer the most advanced features and higher quality outputs.
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Anthropic's Mythos-class creative model
Claude Fable 5 is Anthropic's Mythos-class model released on June 9, 2026, focused on creative writing, worldbuilding, and narrative depth. It was suspended from distribution on June 12, 2026, under US export controls, making it a limited-availability release.
Why: Claude Fable 5 is notable as Anthropic's most experimental creative model. Even with limited availability, it represents an interesting direction for AI-assisted fiction and long-form creative work.
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Best for Creative Writing
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Fast reasoning model with built-in text watermarking for compliance
Claude Fable 5.1 is Anthropic's Fable-tier creative and reasoning model with integrated text watermarking. Released September 2026 as an update to Claude Fable 5, it features automatic watermarking of all text outputs plus a public detection API to verify AI-generated content. Watermarks are imperceptible to users but machine-verifiable, meeting EU AI Act transparency requirements. Priced competitively as a fast model suitable for high-volume applications.
Why: Watermarking + detection API represents significant move toward AI-generated content provenance. EU AI Act compliance built-in from launch, critical for enterprises. Fast execution speed with transparency features addresses emerging regulatory requirements without sacrificing performance.
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Best for Fast Reasoning
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Anthropic's cheaper, faster follow-up to Opus 5, priced near Fable 5.1's level
Claude Opus 5.5 is Anthropic's September 22, 2026 update to Opus 5, priced at $4 per million input tokens and $20 per million output (down from $5/$25), with cache reads cut from $0.50 to $0.20 per million and cache writes from $6.25 to $5. A faster mode in Claude Code and the Claude Platform runs up to 2.5x quicker at $8/$40 per million tokens. Anthropic's own benchmarks put it ahead of the larger Claude Fable 5.1 on agentic coding (66.4% vs 55.8% on Terminal-Bench 4.0), computer use (81.8% vs 80.7% on OSWorld 2.0), and knowledge work (1846 vs 1735 Elo on GDPval-AA v2.1), while generating output more than 30% faster than Opus 5. Five-hour usage limits on Pro, Max, Team and seat-based Enterprise plans were also increased alongside the release.
Why: It is priced 20% below Opus 5 on the headline rate and roughly 40% cheaper on typical agentic workloads once cache-read savings are counted, while benchmarking ahead of the more expensive Fable 5.1 on the coding and computer-use tasks this directory's readers actually run. That combination, cheaper than its own predecessor and ahead of the tier above it, is unusual enough to be the pick over Opus 5 for anyone already on Claude.
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Best Value Frontier Claude Model
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OpenAI's top-tier model for complex professional work
GPT-5.6 Sol is the highest-capability model in OpenAI's GPT-5.6 family, released July 9, 2026 after a limited preview starting June 26. It has a 1.05M-token context window with up to 128K output tokens, and is positioned for complex professional work: advanced coding, scientific and technical reasoning, long-document analysis, computer use, and multistep agent workflows. It sits alongside the cheaper Terra and Luna tiers in the same family: Sol is $5 input and $30 output per million tokens, Terra $2.50 and $15, Luna $1 and $6, and on July 30, 2026 OpenAI cut Luna's price by 80% and Terra's by 20%. Free and Go users of ChatGPT get Terra; paid users choose any of the three and set effort per model.
Why: Sol ranks third overall on the Artificial Analysis Intelligence Index at 58.9, behind Claude Opus 5 and Claude Fable 5, a genuine top-tier frontier model rather than an incremental update, and OpenAI's clear flagship pick for the hardest professional-grade tasks.
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Best for Professional-Grade Reasoning
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OpenAI's coding-focused GPT-6 model at half the price of GPT-5.6 Sol
GPT-6 Sol is OpenAI's September 22, 2026 update to GPT-5.6 Sol, priced at $2 per million input tokens and $10 per million output, down from $4/$20, a permanent price cut OpenAI has confirmed is not promotional. It is positioned for complex, repeated developer work: building features, reviewing code, debugging, and analyzing data. On the DeepSWE v1.1 software-engineering benchmark, independent testing found Sol reaches 68.8% at maximum effort for $2.14 per task, against Claude Fable 5's 69.9% at its highest effort setting for $21.63 per task, near-identical accuracy at roughly a tenth of the cost. OpenAI says it makes about half as many mistakes as GPT-5.6 Sol.
Why: The near-parity DeepSWE result against Claude Fable 5 at a tenth of the cost is the reason to look at this model specifically for coding workloads: it is a real price war entry, not a token repricing with nothing behind it, though independent reviewers note overall intelligence scores are flat versus GPT-5.6 rather than improved.
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Best Value Coding Model
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OpenAI's week-later Sol update: near-Astra claims at one-fifth the price
GPT-6.1 Sol is OpenAI's September 29, 2026 release at DevDay, one week after GPT-6 Sol, positioned as the price-performance point of the GPT-6 line. OpenAI says it nearly matches GPT-6 Astra on agentic coding, computer use and professional work at one-fifth the standard token prices: $2 per million input and $10 per million output, with cached input cut to $0.10. The company reports the share of responses containing a factual error at low reasoning effort drops from 11.4% to 7.7%, staying within 1.9% of Astra across all reasoning settings, and that the model fails less often at flagging broken search tools, following explicit restrictions and avoiding unauthorized outcomes. It takes text and image input and returns text. It is available to Plus, Pro, Business, Enterprise and Edu users in...
Why: A week after GPT-6 Sol reset the coding price floor, GPT-6.1 Sol claims near-Astra agentic performance at the same $2/$10 rate — if those numbers hold under independent testing, this becomes the default for cost-sensitive agentic work. It enters the leaderboard on OpenAI's own claims, clearly labeled as such, with the scrapped GPT-6.1 Astra noted for context.
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Best Price-Performance Agentic Model
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Google's state-of-the-art video generation model
Generates high-quality videos from text prompts or images using Google DeepMind's Veo 3.1 model. Supports reference images, first-last frame interpolation, and cinematic-quality output with advanced motion understanding. Produces videos up to 60 seconds with exceptional temporal coherence, realistic physics, and professional-grade visual quality suitable for commercial production.
Why: Google's state-of-the-art video model with top-tier cinematic quality and flexible input options including reference and frame control.
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AI system that translates natural language into code
AI system developed by OpenAI that translates natural language prompts into code across multiple programming languages. Powers GitHub Copilot and serves as the foundation for various AI coding assistants. Provides cloud-native development environment where the IDE serves as a window into a remote agent. Features CLI interface with interactive UI and slash commands for repository interaction. Enables developers to describe coding tasks in plain English and receive corresponding code snippets, complete functions, or entire programs. Trained on vast datasets of public code repositories, enabling assistance with tasks ranging from simple code completions to complex programming challenges.
Why: Foundation technology powering GitHub Copilot and enabling natural language to code translation.
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Best for Code Generation
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Anthropic's mid-tier model that lands within a few points of Opus 5.5 at half the price
Claude Sonnet 5.5 is Anthropic's September 28, 2026 update to Sonnet 5 and the second model in the Claude 5.5 family after Opus 5.5. It keeps Sonnet 5's price of $2 per million input tokens and $10 per million output ($2.50 cache writes; cache reads were halved to $0.10 on October 7, 2026), generates output more than 30% faster, and in Anthropic's testing costs up to 30% less per task because it uses fewer tokens and tool calls. Anthropic's own benchmarks put it ahead of Opus 5.5 on Terminal-Bench 4.0 (70.6% vs 66.4%) and within two points of it on OSWorld 2.1 (80.1% vs 81.8%) and GDPval-AA v2.1 (1844 vs 1846). It is the first Sonnet to carry Opus-level cybersecurity safeguards, which route higher-risk security requests back to Sonnet 5.
Why: It is the rare mid-tier release that closes almost the whole gap to the flagship on agentic work while costing half as much per token, and Anthropic's customer reports (Box, Zendesk, Lovable, Base44) all point the same way: fewer steps and fewer tokens for the same result. For most Claude users it is the new default to try before paying for Opus.
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Best Value Everyday Claude Model
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Terminal-based AI coding assistant for agentic development
Command-line AI coding assistant developed by Anthropic, designed for agentic coding workflows. Unlike traditional IDEs, operates entirely within the terminal, allowing developers to delegate coding tasks directly to Claude AI model. Integrates seamlessly with existing code editors, providing a streamlined coding experience. Enables code generation, debugging, and architectural guidance through natural language commands. Requires Claude Pro or Max subscription and is designed for users comfortable with command-line interfaces. Provides direct interaction with Claude for coding tasks without GUI overhead.
Why: Unique terminal-based approach enabling direct AI coding assistance in command-line workflows.
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Best for Terminal Development
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Kling's next video model: 30-second clips, up to 15 references and 10 keyframes
Kling 4.0 is Kuaishou's next-generation Kling video model, announced September 28, 2026. It doubles the longest single generation to 30 seconds, continues a video across multiple shots up to 2 minutes, takes up to 15 references in text, image and video, and lets you pin up to 10 keyframes to control how a scene unfolds. Output goes up to 4K, with 10-bit HDR and a 21:9 ultra-wide ratio, plus stereo audio and more accurate lip sync. A lighter Kling 4.0 Flash went live the same day for Ultra Yearly subscribers only; Kling says the full Kling 4.0 is coming in October 2026.
Why: Clip length and control are what limit AI video for real storytelling, and Kling 4.0 moves both: 30 seconds per generation and keyframes to steer the action, rather than regenerating until something usable appears. Kling 3.0 is already one of the directory's top-ranked video tools, so this is the upgrade to watch. It is listed now with its limited availability stated plainly.
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Best Upcoming Long-Form Video Model
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Meta's first frontier model, for long-running agents, coding and computer use
Muse Wonder is Meta Superintelligence Labs' October 12, 2026 model, a larger class than the Muse Spark line, released alongside a more capable Muse Wonder Full. Wonder is sold through the Meta Model API as muse-wonder-1.0 at $4 per million input tokens and $20 output ($0.20 cached input), with a one million token context window, and works with existing OpenAI SDK code by changing the base URL. It takes screenshots, charts, documents, images and video as input. Wonder Full is not on the API: it comes only with Muse Code's Power Usage and Maximum Usage plans. Both models will power Meta's Muse agent.
Why: It is Meta back at the frontier. At launch, VentureBeat reported, Artificial Analysis put Wonder a point behind GPT-6 Astra and Gemini 4 Argon on its Intelligence Index, and Wonder Full level with Claude Sonnet 5.5, behind only Claude Opus 5.5. Meta's own coding results are stronger still, and the API price matches Opus 5.5 per token.
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Best New Frontier Model From Meta
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xAI's real-time AI assistant
Grok is xAI's AI assistant integrated into X (formerly Twitter) with real-time access to platform data and a more conversational, edgy tone. Available models include Grok-1 (March 2024), Grok-2 (re-released as Grok 2.5 in August 2026 under source-available license), Grok 3 Beta (February 2026, 314B parameters, 128K token context), Grok 4 (July 2026) with advanced multi-agent architecture, and Grok 4.1 (latest) with improved real-world reasoning and emotional intelligence. Provides answers, analysis, and creative content generation with direct integration into X platform. Available through X Premium+ subscription, offering both web and mobile access. Features include real-time web search, code generation, and creative writing with a distinctive personality.
Why: xAI's AI assistant with unique real-time X platform integration and distinctive conversational style for social media context.
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xAI's flagship coding model, trained in partnership with Cursor
Grok 4.5 is xAI's flagship model, shipped July 8, 2026 with public rollout July 9. It has a 500K-token context window (with a high-context surcharge above 200K) and configurable reasoning effort (low/medium/high, defaulting to high). xAI trained it in partnership with Cursor specifically to handle long-running jobs across multiple repositories with minimal human intervention across hundreds of tool calls.
Why: xAI positions it as its flagship 'for code and everything else,' and real benchmark data backs that up, 53.8% on the Artificial Analysis Intelligence Index (rank 7 overall). The Cursor training partnership is a distinctive angle: it's specifically tuned for long-horizon, multi-repository coding agent work, not just general chat.
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Best for Long-Running Coding Agents
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Omni-modal video with native stereo audio, at 2K
MiniMax H3, released 31 July 2026, reads text, images, video and audio as one shared context and returns video with native stereo sound at up to 2K and 15 seconds. MiniMax positions it as omni-modal rather than a video model with features bolted on: text-to-video, image-to-video, editing, reference-based and audio-driven generation are all expressed as natural-language instructions over that one context instead of separate expert models. A single generation accepts up to 9 reference images, 3 reference video clips and 3 reference audio clips, 12 files in total. It runs on the MiniMax platform API as model ID MiniMax-H3 and in the consumer Hailuo app.
Why: The native stereo audio is the part that matters — most 2K video models still hand you a silent clip and leave you to score it. Generating sound in the same pass as the picture removes a whole step, and MiniMax prices the 2K tier well under the mainstream alternatives.
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Best for Video With Sound
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Meta's agentic coding model, tuned to finish long jobs in fewer steps
Muse Spark 1.3 is Meta Superintelligence Labs' September 2, 2026 update to its closed-weights Muse Spark model, released through the Muse Code harness (macOS and Linux) and the Meta Model API. Meta says it sustains longer multi-step work in a single thread, asks clarifying questions when stuck, and uses about 20% fewer tool calls and 25% fewer tokens than Muse Spark 1.2. API pricing is unchanged at $1.25 per million input tokens and $4.25 output ($0.15 cached input), with a cheaper Contributor tier at $0.10/$0.20 that lets Meta train on your data. A max reasoning setting, which produced Meta's best published scores, is now available in Muse Code and the API.
Why: On Artificial Analysis's Intelligence Index it scored 61, level with GPT-5.6 Sol and Claude Opus 5, according to VentureBeat, at a far lower per-token price than either. It is also the model behind Meta's Muse personal agent, so it is worth knowing even if you never call the API.
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Best Low-Cost Frontier Coding Model
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Anthropic's small model at a tenth of Haiku 4.5's price, matching GPT-6 Luna
Claude Haiku 5.5 is Anthropic's October 7, 2026 small model, replacing Haiku 4.5 as the recommended fast, cheap Claude. For prompts up to 100,000 tokens it costs $0.10 per million input tokens and $0.50 per million output, 90% below Haiku 4.5 and the same as OpenAI's GPT-6 Luna; above 100,000 tokens the price is $0.50 and $2.50. Cache reads are $0.01 per million. Anthropic says about 90% of Haiku requests fall under the 100,000-token line, so the average cost falls by around 75%. In Anthropic's tests it scores 1620 on GDPval-AA v2.1 against Luna's 1437, 72.4% on OSWorld 2.1 against 48.9%, and 39.2% on Terminal-Bench 4.0 against 16.4%. It is the first Haiku with adjustable effort levels, from low to max, and supports computer and browser use in beta through the SDKs. Output is text only.
Why: It resets what a small model costs and what it can do at that price: on Anthropic's tables it beats GPT-6 Luna on every shared benchmark at the same per-token rate, and the independent Intelligence Index puts its max-effort setting above Luna's too. For high-volume classification, extraction, routing and sub-agent work, it is the new default to test first.
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Best Low-Cost Small Model
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OpenAI's state-of-the-art video model with audio
Creates richly detailed, dynamic video clips with native audio generation from text prompts or images using OpenAI's Sora 2 model. Produces high-fidelity video with realistic physics, coherent motion, and synchronized audio for cinematic output. Supports video generation up to 60 seconds with advanced understanding of physics, lighting, and camera movements. Generates synchronized audio that matches visual content, creating complete video experiences in a single generation.
Why: OpenAI's flagship video model with native audio generation, representing state-of-the-art quality in video synthesis.
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Cursor's agentic coding model for multi-file software engineering
Cursor Composer 2.5 is the agentic coding model inside the Cursor IDE, released on May 18, 2026. It extends Cursor's Composer feature with better long-context planning, improved multi-file editing, and stronger autonomous agent capabilities. It can reason across large codebases, propose architectural changes, and execute edits with user approval.
Why: Composer 2.5 moves Cursor further from autocomplete toward genuine pair-programming autonomy. For teams already using Cursor, it is the most integrated way to turn high-level feature requests into working code across many files.
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Best for IDE Autonomy
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Top-tier image-to-video with native audio generation
Generates cinematic videos from images using Kling 2.6 Pro with fluid motion understanding and native audio generation. Produces high-quality video output with advanced motion physics, camera control, and synchronized audio synthesis. Supports video generation up to 10 seconds with realistic physics, natural camera movements, and synchronized audio that matches the visual content. Offers professional-grade output suitable for commercial production with multiple aspect ratios and style controls.
Why: Best-in-class motion fluidity + native audio support, making it the top choice for cinematic image-to-video generation.
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Best for Cinematic
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Text/image-to-video creation suite with editing tools
Generates videos from text or images and provides a complete web-based editing suite. Includes Gen-3 Alpha for video generation, in-app editing tools, effects, and production-ready export options in a unified workflow. Supports video lengths up to 18 seconds per generation, with timeline-based editing, color grading, motion tracking, and professional export formats (MP4, ProRes, H.264) suitable for commercial production.
Why: Best all-in-one product workflow combining video generation with professional editing tools in a single platform.
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Best for Workflow
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In-context video editing model and Edit Studio
Runway Aleph 2.0 is an in-context video editing model released on May 21, 2026, alongside the new Edit Studio. It enables editors to describe changes in natural language and have them applied directly to existing footage, including style transfers, object edits, and shot modifications.
Why: Aleph 2.0 shifts Runway from pure generation to editable, controllable video manipulation. For video editors, this means less time rebuilding shots from text and more time refining real footage with AI assistance.
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Best for In-Context Video Editing
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Fast 1080p image-to-video from MiniMax
Advanced fast image-to-video generation with up to 1080p resolution using MiniMax's Hailuo 2.3 Fast model. Provides rapid video generation with high-resolution output optimized for production workflows and API integration. Combines fast inference times with 1080p resolution output, making it ideal for production pipelines requiring both speed and quality. Supports API access for automated video generation workflows and batch processing.
Why: Speed + high resolution (1080p Pro tier) combination making it ideal for fast, high-quality video generation.
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Best for Speed
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High-end image generation with strong aesthetics
Generates high-aesthetic images from text prompts with strong artistic style and composition. Produces variations and allows style exploration through Discord-based workflow with iterative refinement. Supports multiple aspect ratios, style parameters (--style, --stylize), and advanced features like remix mode for composition control. Known for exceptional artistic taste and cinematic quality output suitable for professional concept art and creative projects.
Why: Consistently strong artistic style and taste, making it the go-to choice for concept art and aesthetic image generation.
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Best for Style
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Audio-driven human animation from ByteDance
Generates video from image and audio input with correlated emotions and movements using ByteDance's OmniHuman v1.5 model. Produces realistic talking avatars with natural lip-sync, facial expressions, and body movements synchronized to audio input. Advanced emotional understanding enables facial expressions and body language that match the emotional tone of the audio. Creates highly realistic talking-head videos suitable for presentations, explainers, and interactive applications.
Why: Best for realistic talking avatars with emotional sync, providing the most natural audio-driven human animation available.
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Best for Avatar
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Microsoft's preview image model, third on the editing board
MAI-Image-2.6 is Microsoft AI's image model for text-to-image and image editing. The model card dates the 2.6 release to 14 August 2026 and the faster MAI-Image-2.6-Flash release to 4 September 2026. It is a diffusion model with a maximum of 2,359,296 pixels, equivalent to 1,536 by 1,536, and either side can run past 1,536 if the total stays inside that cap. The 4 September post adds multi-image reference editing, web grounding, and dynamic aspect ratios, and puts both models in public preview on Microsoft Foundry and in the MAI Playground. Weights are not released.
Why: On 2 October 2026 it is third on Artificial Analysis AA-Image-Editing v2.0, at 1,137 Elo, and fifth on AA-Image-T2I v2.0, at 1,149 Elo. Microsoft's 4 September post said it was first for editing and second for text-to-image as of that day. The board has moved. It is still the strongest non-OpenAI model on the editing board, at a representative price of $38.90 per 1,000 images.
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Black Forest Labs' top-tier image generation model
FLUX.2 [max] is Black Forest Labs' flagship image generation model. It builds on the FLUX architecture with improved prompt adherence, anatomy, text rendering, and aesthetic quality for professional image creation.
Why: FLUX.2 [max] continues the FLUX lineage of excellent prompt adherence and typography. It is a top choice for designers, advertisers, and developers who need reliable, high-quality image generation.
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Best for Prompt Adherence
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Quality Mode in Grok for layout, type, and edits with up to five references
Grok Imagine Image 2.0 is xAI's image model, generally available 7 August 2026 as Quality Mode on grok.com/imagine and in the Grok iOS and Android apps. The launch post describes instruction following for dense layouts and small text, a magic wand and segmentation for local edits, background removal, smart resize across aspect ratios, and multi-reference generation with up to five input images. The API id is grok-imagine-image-2.0, on POST /v1/images/generations and POST /v1/images/edits.
Why: It is the highest text-to-image model on Artificial Analysis outside OpenAI. On 2 October 2026, AA-Image-T2I v2.0 has it at 1,157 Elo, rank 4, inside a rank band of 4 to 5. Editing is tenth, at 1,107 Elo, inside a band of 7 to 13. The model page lists output at $0.04 per image. The leaderboard prices the setting it scored at $60 per 1,000 images.
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Stylized image/video animation for creators
Animates images into stylized video clips with motion presets and artistic effects. Creates music-video style animations with fast aesthetic transformations and creative motion patterns. Supports multiple animation styles, motion intensity controls, and artistic filters. Produces unique stylized videos suitable for music videos, creative projects, and social media content with distinctive visual aesthetics.
Why: Great for music-video style animations and fast aesthetics with unique stylized motion effects.
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Generative image tools inside Adobe ecosystem
Generates and edits images with native integration into Adobe Creative Cloud workflows. Provides generative fill, text-to-image, and style transfer directly within Photoshop, Illustrator, and other Adobe applications. Supports commercial-safe content generation, multiple style options, and seamless workflow integration. Produces professional-grade output suitable for commercial design work with full Creative Cloud compatibility.
Why: Great when you already live in Adobe apps and need seamless integration with existing design workflows.
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OpenAI's high-fidelity image generation
Generates high-fidelity images from text prompts using OpenAI's GPT-Image 1.5 model with exceptional prompt adherence and detail preservation. Maintains accurate composition, realistic lighting, and fine-grained details across diverse styles and subjects for production-ready image outputs. Represents OpenAI's latest advancement in image generation with superior prompt understanding, detail accuracy, and visual quality. Suitable for professional workflows requiring high-fidelity outputs with precise prompt control.
Why: OpenAI's flagship image generation model with state-of-the-art prompt following and detail preservation, representing the cutting edge of text-to-image quality.
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Sakana's highest-capability orchestrator, scoring above Opus 5 and Fable 5 on Chartography without calling either
Fugu Ultra v2 is the high-capability sibling to Fugu Max, released alongside it September 11, 2026. Where Fugu Max optimizes for cost, Fugu Ultra v2 asks 'what is the absolute highest capability achievable on complex, multi-step tasks,' pricing at $5 per million input tokens and $30 per million output tokens at standard context lengths. Sakana reports Fugu Ultra v2 scored 48.3 on the Chartography benchmark against 27.3 for Anthropic's Claude Opus 5 and 29.5 for Claude Fable 5, without including either closed model anywhere in its orchestration pool.
Why: The Chartography gap over Opus 5 and Fable 5, this site's own leaderboard leaders, is large enough to be worth flagging even though it's a single Sakana-run benchmark. It's a real signal that learned orchestration over open models can compete with frontier closed models on specific task types, not a general claim that it beats them everywhere.
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Best for Complex Multi-Step Tasks via Orchestration
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The frontier model for complex reasoning and software architecture
OpenAI's most advanced model to date, featuring a 2M context window and specialized training for complex multi-step reasoning. It excels at architectural planning, deep research, and autonomous code generation.
Why: GPT-5.3 Codex is the 'World's Smartest Planner.' While other AI tools are good at chatting, this one is built for solving huge, difficult problems like planning how a whole software system should work. It has a massive memory (2 million words) so it never loses track of the big picture.
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Best for Reasoning
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The industry standard for coding and nuanced instruction following
Anthropic's flagship model, optimized for high-speed coding and perfect adherence to complex XML-based system prompts. Features a 'Computer Use' capability for autonomous task execution.
Why: Claude 4.6 Sonnet is the 'Perfect Student' for following directions. It is famous for doing exactly what you ask without getting confused. It also has a special 'Computer Use' feature where it can actually move the mouse and type on your screen to do chores for you.
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Best for Coding
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Native multimodal intelligence with a 10M context window
Google's most powerful multimodal model, capable of processing hours of video, thousands of lines of code, or massive document sets in a single prompt. Features native audio/video understanding.
Why: Gemini 3 Ultra offers an unbeatable 10M token context window, allowing it to process entire project histories, hours of video, or massive codebases in a single prompt. Its native multimodal intelligence makes it the only model capable of 'seeing' and 'hearing' complex data sets with the same level of depth as it reads text, providing a unique advantage for large-scale data analysis.
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Best for Context
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The autonomous agent for full-stack deployment
Replit Agent is an autonomous AI that can build and deploy entire applications from scratch. It handles database setup, API integrations, and cloud hosting automatically.
Why: Replit Agent is the 'Ultimate Builder' for people who don't know how to code. You can just talk to it like a human, and it will build your entire app, set up the database, and launch it for you. It's like having a professional developer in your pocket.
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The industry standard for cinematic AI video generation
Runway's Gen-4.5 is a high-fidelity video generation model that excels at temporal consistency, realistic physics, and cinematic lighting. It features advanced 'Act-One' character expression and precise camera control.
Why: Runway Gen-4.5 is the 'Hollywood' of AI video. It creates the most realistic movies where characters move and look exactly like real people. It's the top choice for professional filmmakers because it gives them total control over the camera and the actors' expressions.
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Best for Filmmaking
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The new gold standard for prompt adherence and text rendering
Black Forest Labs' FLUX.1 [pro] is a state-of-the-art image generation model that outperforms almost everything in prompt adherence, human anatomy, and complex text rendering within images.
Why: FLUX.1 [pro] is the 'Master Artist' for AI images. Most AI tools are bad at writing words inside pictures, but Flux is perfect at it. It's the best tool for designers who need high-quality posters, logos, and photos that look 100% real.
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Best for Design
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Alibaba flagship video with joint audio and multilingual lip-sync
Alibaba's HappyHorse 1.0 is a high-end video generation family: text-to-video, image-to-video, reference-guided video, and natural-language video editing. Emphasizes synchronized native audio with picture (dialogue, ambience, and effects in one pass where supported), multilingual lip-sync, and 1080p-class delivery. Positioned for cinematic social, localized campaigns, and rapid storyboard-to-cut workflows. Official API access is available on fal.ai across multiple endpoints.
Why: It addresses the hardest user complaint about AI video, convincing sound and lip-sync with motion, not only pixels. Strong fit when you need dialogue-forward clips or localized performances without a full audio post stack.
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Best for Audio+Video
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One multimodal model for text, vision, audio, and video reasoning
Nemotron 3 Nano Omni is NVIDIA's compact-but-capable multimodal stack for agentic workflows: one family of endpoints that accept text, images, audio, or video (depending on route) and return text answers, useful as the 'perception and reasoning' layer for assistants that must read screens, documents, calls, or clips without chaining four different specialist models. Optimized for efficiency at scale; exposed on fal.ai as separate text, vision, audio, and video reasoning endpoints built on the same foundation.
Why: If your product roadmap says 'agents that see and hear the world,' Omni is built for that integration story, fewer moving parts than bolting Whisper + CLIP + LLM together by hand.
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Best for Agents
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Real-time virtual try-on in video
Lucy 2.1 VTON (virtual try-on) focuses on fashion and commerce: take a person-in-video context and apply garment or style changes with a video-to-video treatment tuned for interactive or low-latency experiences: think try-before-you-buy flows, creator tools, and rapid merchandising tests rather than a single static overlay. Offered as a specialized realtime endpoint on fal.ai under Decart's namespace.
Why: Most directories list generic video models; few spell out 'commerce motion' workflows, VTON fills that gap for teams selling apparel and accessories.
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Best for Fashion Video
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Alibaba's closed-API flagship before Qwen 3
Qwen 2.5-Max is a large-scale MoE model accessible through the Qwen API and Alibaba Cloud. It was the top-tier closed model in the Qwen 2.5 series, offering strong reasoning, coding, and agentic capabilities before the Qwen 3 release.
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Ultra-realistic FLUX.1 update with faster generation
FLUX.1.1 [pro] is a refined version of the top-tier FLUX.1 [pro] model from Black Forest Labs, released in October 2024. It improves prompt adherence, realism, and generation speed while maintaining the same high-quality output and text rendering capabilities.
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Best for Premium Image Quality
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Advanced inpainting and outpainting FLUX model
FLUX.1 Fill [pro] is a specialized Black Forest Labs model for high-quality image inpainting, outpainting, and content-aware editing. It uses a masked conditioning approach to seamlessly integrate new content into existing images.
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Best for Image Editing
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Canny-edge-guided image generation and editing
FLUX.1 Canny is a control-oriented Black Forest Labs model that uses Canny edge maps to guide image generation and structure-preserving edits. It is useful for maintaining pose, composition, and object outlines while changing styles or content.
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Best for Structural Control
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Depth-map-guided image generation and editing
FLUX.1 Depth is a control model from Black Forest Labs that uses depth maps to guide new image generation or editing. It preserves the spatial structure of a scene while allowing changes to objects, lighting, and style.
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Best for Spatial Control
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Fast, low-cost Claude model with extended thinking and Computer Use
Anthropic's Haiku-tier model announced on October 15, 2025, and the first Haiku model to support both extended thinking and Computer Use. It matches Claude Sonnet 4's coding performance at roughly one-third the cost and over twice the speed.
Why: Haiku 4.5 is the only current Haiku model and is the first to bring Computer Use and extended thinking to the low-cost tier.
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Best for Fast, Low-Cost Agents
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Balanced Sonnet model with major coding and agentic improvements
Anthropic's Sonnet-tier model announced on September 29, 2025, with major coding, instruction-following, and agentic improvements at the same price as Sonnet 4. The same announcement added the context editing feature and a memory tool to the Claude API.
Why: Sonnet 4.5 brought meaningful coding and agentic upgrades at the same price as Sonnet 4, making it a notable missing mid-tier entry.
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Best for Balanced Coding Agents
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Cursor's first-generation agentic coding model
Cursor Composer 1 is the first-generation agentic model inside the Cursor IDE. It enables multi-file editing, codebase-aware suggestions, and early autonomous coding workflows through natural language prompts.
Why: Composer 1 introduced the original agentic editing experience inside Cursor that later evolved into the stronger long-context planning of Composer 2.5.
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Best for Agentic Editing
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744B-parameter open-weight MoE flagship for agentic planning and execution
GLM-5 is Zhipu AI's (Z.ai) first 2026 flagship, a 744B-parameter sparse mixture-of-experts model with roughly 40B active parameters per token. It is built for high-intelligence reasoning, agentic planning, and long-context execution, with a 200K context window and 128K maximum output.
Why: GLM-5 anchors the open-weight GLM line as a commercially-usable Chinese flagship with a permissive license and a strong reasoning profile.
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Best for Open-Weight Frontier
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MIT-licensed MoE flagship for 8-hour autonomous coding sessions
GLM-5.1 is Z.ai's refinement flagship released in April 2026, a 744B-parameter MoE model with 40B active parameters per token. It targets long-horizon agentic coding, multi-file refactoring, and terminal work, sustaining up to 8-hour autonomous tasks through a 200K context window and 128K maximum output.
Why: GLM-5.1 is the open-weight coding release that made Z.ai competitive on long-horizon agentic work while remaining MIT-licensed for unrestricted commercial use.
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Best for Long-Horizon Coding
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Optimized GLM-5 variant for fast sequential task execution
GLM-5-Turbo is a tuned variant of the GLM-5 series that prioritizes lower latency and efficient sequential execution. It shares the 200K context window and 128K output ceiling of the GLM-5 family and is positioned for agentic workflows that need many quick steps.
Why: GLM-5-Turbo is the practical speed layer for the GLM-5 family, trading a small amount of peak capability for noticeably faster multi-step agent execution.
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Best for Fast Sequential Tasks
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Strong general-reasoning model with interleaved thinking
GLM-4.7 is Z.ai's general-reasoning tier, offering a 200K context window and 128K maximum output. It is positioned between the mid-range GLM-4.6 and the GLM-5 flagships, with emphasis on interleaved thinking and broad tool-use tasks.
Why: GLM-4.7 is the cost-effective sweet spot for long-context reasoning and general-purpose agent work before stepping up to the GLM-5 series.
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Best for General Reasoning
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Mid-range coding and tool-calling model with 200K context
GLM-4.6 is a mid-range GLM model optimized for advanced coding, tool calls, and agentic tasks. It offers a 200K context window and 128K maximum output, and was the first GLM flagship to run on Cambricon chips at FP8 and Int4 quantization.
Why: GLM-4.6 gives developers a capable, lower-cost GLM option for coding and tool-calling agents without sacrificing the long context window.
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Best for Coding & Tool Calls
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Cost-efficient reasoning, coding, and agent model
GLM-4.5-Air is a budget-friendly variant of the GLM-4.5 generation, designed for cost-efficient reasoning, coding, and agent tasks. It supports a 128K context window and a 96K maximum output, making it a strong low-cost option for production workloads.
Why: GLM-4.5-Air extends the GLM-4.5 family downward with a low-cost model that still handles coding, reasoning, and agent tasks.
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Best for Budget Reasoning
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Multimodal coding and visual-reasoning agent model
GLM-5V-Turbo is a vision-language variant of the GLM-5 family, built for multimodal coding, visual reasoning, and image-plus-text agent workflows. It offers a 200K context window and 128K maximum output.
Why: GLM-5V-Turbo is the GLM family's main vision agent, letting coding and agent workflows reason over images and screenshots in the same long context.
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Best for Multimodal Coding
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Vision-language model for visual reasoning and UI replication
GLM-4.6V is a 2025 vision-language model in the GLM family, offering visual reasoning, tool calling, and frontend code replication. It supports a 128K context window and a 32K maximum output.
Why: GLM-4.6V is the practical vision tier for turning screenshots and images into working code or structured analysis.
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Document parsing model for PDF and image OCR
GLM-OCR is a specialized GLM model for extracting structured Markdown from PDFs and images. It supports a 65K context window and is optimized for layout-aware document parsing rather than open-ended chat.
Why: GLM-OCR fills a clear gap in the GLM family by turning scanned documents and PDFs into structured, usable text with layout awareness.
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Best for Document Parsing
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Google's photorealistic text-to-image model with text rendering
Imagen 2 is a diffusion-based text-to-image model developed by Google DeepMind. It emphasizes photorealism, accurate text rendering, and flexible aspect ratios, and is available through Vertex AI and the Google AI Studio image API.
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Best for Realistic Images
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Google's high-quality 1080p video generation model
Veo 2 is a 2024 text-to-video and image-to-video model from Google DeepMind that produces 1080p cinematic clips with strong prompt adherence, camera control, and realistic motion. It is available through VideoFX and the Gemini API.
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Best for Cinematic Video
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OpenAI's cheapest GPT-6 model, for high-volume clerical work
GPT-6 Luna is OpenAI's September 22, 2026 update to GPT-5.6 Luna, priced at $0.10 per million input tokens and $0.50 per million output, down from $0.20/$1.20. It is positioned for high-volume, tightly-defined tasks with a clear goal: summarizing documents, extracting information, and answering straightforward questions, rather than open-ended reasoning or coding. Independent testing on the DeepSWE v1.1 benchmark found Luna matches GPT-6 Sol's maximum-effort score for just $0.22 per task.
Why: At $0.10/$0.50 per million tokens it is priced for workloads where cost per call is the entire decision, and matching Sol's benchmark score at a fraction of Sol's price on at least one measured task makes it worth trying before defaulting to a more expensive tier for simple, high-volume work.
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Best for High-Volume Clerical Tasks
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xAI's long-context flagship with a 1M-token window
Grok 4.3 is xAI's general-purpose frontier model released in April 2026. It pairs strong reasoning and coding with a 1-million-token context window, making it practical for analyzing long documents and large codebases in a single pass.
Why: Grok 4.3 is the sweet spot in xAI's lineup for anyone who needs a frontier model with a very large context window at a lower price than Grok 4.5.
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xAI's high-volume, 2M-context workhorse model
Grok 4.1 Fast is xAI's cost-efficient frontier model released in November 2025. It offers a 2-million-token context window and aggressive per-token pricing, making it a strong choice for classification, extraction, and long-document tasks at scale.
Why: Grok 4.1 Fast delivers one of the largest context windows in the family at the lowest price point, making it the default pick for bulk work.
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Best for Volume and Cost Efficiency
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xAI's 2M-context beta model with multi-agent capabilities
Grok 4.20 is a beta model from xAI released in February 2026. It features a 2-million-token context window and multi-agent architecture, targeting complex reasoning and long-horizon workflows that benefit from coordinated sub-agents.
Why: Grok 4.20 remains notable as xAI's first multi-agent beta model with a 2M context window, even though newer 4.3/4.5 models now offer flagship alternatives.
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xAI's fast, cheap coding specialist model
Grok Code Fast 1 is a lightweight coding-focused model from xAI with a 256K context window. It is tuned for fast code completion, editing, and agentic coding tasks at a much lower price than the flagship Grok tiers.
Why: Grok Code Fast 1 is the practical, low-cost coding specialist in xAI's family for developers who want Grok reasoning without flagship pricing.
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Best for Fast Coding Assistance
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Premium tier of Kling 3.0 with best quality
Kling 3.0 Master is the premium-quality variant of Kling 3.0, offering the highest fidelity, best motion, and most reliable prompt adherence for professional video production.
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Lightweight, real-time search model for cited answers at low cost
Perplexity's base Sonar model pairs live web search with a compact LLM to deliver fast, citation-backed answers. It is the default model behind many Perplexity search experiences and is exposed through the Perplexity API as the cheapest Sonar option.
Why: Sonar is the affordable, fast entry point to Perplexity's live-search API and is widely used as the default model for citation-backed Q&A.
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Best for Everyday Search
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Advanced search model with deeper reasoning and richer citations
Sonar Pro uses a more capable model and expanded search context to answer complex questions with detailed, source-backed responses. It supports Pro Search for multi-step tool usage and is designed for research tasks that need more depth than the base Sonar model.
Why: Sonar Pro adds the depth and reliability needed for serious research while remaining accessible through Perplexity's API and Pro app tier.
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Best for Deep Research
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Chain-of-thought reasoning model for multi-step logical analysis
Sonar Reasoning Pro exposes explicit chain-of-thought reasoning to solve complex, multi-step problems with transparent intermediate steps. It is aimed at logical analysis, coding, and math tasks that require verifiable reasoning alongside live web search.
Why: Sonar Reasoning Pro is Perplexity's option for users who need transparent, step-by-step reasoning rather than just a final answer.
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Best for Complex Reasoning
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Runway's next-generation model for consistent characters and camera
Runway Gen-4 is a 2025 video generation model that emphasizes consistent characters, objects, and environments across multiple clips, along with advanced camera control and world consistency.
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Best for Consistent Worlds
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Performance-driven character animation from video
Runway Act-One is a tool that transfers an actor's facial performance and expressions onto a generated character using video input, enabling expressive character animation without motion-capture hardware.
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Best for Performance Transfer
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AI-powered image upscaling up to 8x with detail recovery
Upscales and enlarges images using AI while recovering natural detail and reducing artifacts. Offers specialized models for photos, art, text, low-resolution sources, and face recovery.
Why: The standalone upscaling specialist in Topaz's lineup, with dedicated models for different image types and up to 8x enlargement.
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Best for Upscaling
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Cloud AI video enhancement up to 4K
Cloud-based video enhancement service that upscales, sharpens, and restores video up to 4K using multiple AI render modes. Designed for fast turnaround and browser-based workflows.
Why: Topaz's cloud-native video enhancement offering with a credit-based model and 4K output for creators who don't want to render locally.
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Best for Cloud Video Enhancement
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Creative upscaling that adds realism to AI-generated images
Reinterprets and enhances AI-generated images and digital art up to 8x, adding texture, lighting, and realism while preserving the original composition. Uses adjustable creativity and realism controls.
Why: A dedicated creative upscaler for AI-generated imagery, bridging the gap between raw AI output and production-ready assets.
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Best for AI Image Polish
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Tripo's latest high-fidelity 3D generation model
Tripo 4.0 is the latest generation of Tripo AI's text- and image-to-3D pipeline, emphasizing high-fidelity geometry, detailed textures, PBR materials, and game-engine-ready topology.
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Best for Fidelity
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Persistent AI agents that operate your apps autonomously—$120/month
Grok Bot by SpaceXAI is an agentic product that shifts AI assistants from answering prompts to continuously executing work inside applications employees already use. Users create persistent bots with specific jobs, grant them access to apps/websites, and delegate tasks as they would to teammates. Each bot runs in its own computer environment, keeps working when the user's laptop closes, and checks back when needing approval or finishing. Started as internal prototype for sales outbound, marketing campaigns, office operations, and bug fixes.
Why: Represents shift from AI chatbots to autonomous persistent agents. Early commercial agentic work product showing real enterprise adoption.
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Best for Autonomous Agents
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AI upscaling and enhancement for images
Enhances and upscales images with AI-powered detail boost and quality improvement. Provides advanced upscaling, detail enhancement, and final polish tools for creators refining their outputs to production quality. Supports upscaling up to 8x resolution with intelligent detail generation, creative enhancement modes, and fine-tuned control over enhancement intensity. Produces professional-grade results suitable for print, digital media, and high-resolution displays.
Why: High-quality enhancement for creators polishing outputs with exceptional detail preservation and quality improvement.
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Best for Upscale
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Z.ai's post-trained coding and agentic model on the GLM-5.2 base
GLM-5.3 is Z.ai's flagship coding and agentic model, released 14 August 2026. It uses the same 743B-parameter mixture-of-experts base as GLM-5.2, with Z.ai attributing the gains to scaled post-training rather than a new pre-training run. It targets long-horizon agentic coding, business-process automation, defensive security work and tasks that span many steps. The model supports three reasoning-effort levels and a 1M-token route for coding plans.
Why: The Terminal-Bench 3.0 score moved from 4.6% to 28.3%, DeepSWE v1.1 from 46.2% to 66.9%, and CyberGym from 77.2% to 84.5% — all on the same base as GLM-5.2. That is a real signal about post-training returns, even if most numbers are vendor-run and weights are not yet released. It is also reported as one of the fastest models in its class, at roughly 115 tokens per second.
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$499 AI-powered smart glasses with Gemini or ChatGPT built in
HTC Vive Eagle are consumer smart glasses priced at $499, allowing users to choose between Google's Gemini or OpenAI's ChatGPT as their built-in AI assistant. Launched in North America, Europe, and Australia. Represents major entry into AI-powered wearables, competing directly with Meta's AI glasses by bringing frontier AI models to mainstream consumer hardware in always-available form factor.
Why: Consumer smart glasses with AI assistant choice represent mainstream adoption of wearable AI. Shows shift of frontier AI from phones/computers to persistent wearable interfaces.
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Best for AI Wearables
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Sakana's cost-optimized orchestrator, routing one request across a pool of other models
Fugu Max is one of two orchestration models Sakana AI released September 11, 2026. Fugu is not a single monolithic model but a learned orchestrator: it receives one API request, decides which models in its pool should handle the task, and stitches their answers back together. Fugu Max is tuned for the question 'what is the best possible output at the lowest possible cost,' pricing at $2 per million input tokens and $6 per million output tokens, which Sakana claims runs 40-60% below Claude Sonnet 5, GPT-5.6 Terra and Kimi K3.
Why: Orchestration-as-a-model is a distinct approach from either a single frontier model or a manual multi-agent pipeline, and the published pricing gap is large enough to matter for high-volume workloads. The tradeoff is that output quality depends on which models are in Sakana's pool at request time, an opaque, moving dependency the site can't fully audit from the outside.
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Best for Cost-Optimized Multi-Model Routing
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Hosted Alibaba TTS across 16 languages, in a fast tier and a fidelity tier
Qwen-Audio-3.0-TTS is Alibaba Tongyi Lab's hosted text-to-speech model, released 21 July 2026 and served through Alibaba Cloud Model Studio rather than as downloadable weights. It ships in two tiers: Flash, tuned for real-time interaction at roughly 300ms first-packet latency, and Plus, tuned for high-quality generation where naturalness and timbre fidelity matter more than speed. It covers 16 languages — Arabic, Chinese, English, French, German, Indonesian, Italian, Japanese, Korean, Malay, Portuguese, Russian, Spanish, Tagalog, Thai and Vietnamese — and improves fidelity on Chinese dialects over the previous generation.
Why: The two-tier split is the useful part: most TTS vendors make you pick latency or fidelity across the whole account, and this exposes both behind one API. The 300ms-level first-packet latency on the Flash tier is fast enough for live conversational use.
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Best for Multilingual Speech
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Intelligent routing to optimal models for 3x cost savings on inference
Snowflake AI Gateway is an enterprise inference routing layer released September 2026. It intelligently routes queries to the most cost-effective model that meets quality requirements. Users define acceptable accuracy/latency thresholds, and the gateway automatically chooses between Claude, GPT, Gemini, or open-source alternatives based on current pricing and performance. Uses machine learning to predict which model is optimal for each query pattern. Integrated directly into Snowflake SQL and Python notebooks.
Why: Cost optimization at scale is major enterprise concern. Automatic model selection removes guesswork and prevents overpaying for high-capability models on simple tasks. Claimed 3x savings shown in practice through intelligent model tiering. Direct Snowflake integration means no architectural changes required.
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Best for Cost Optimization
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Image enhancement (denoise/sharpen/upscale)
Enhances photos with strong AI-powered denoise, sharpen, and upscale tools using advanced image processing algorithms. Provides professional photo cleanup, detail enhancement, and quality improvement for final image polish. Combines multiple AI models for face recovery, denoising, sharpening, and upscaling in a unified workflow. Supports batch processing, automatic model selection, and fine-tuned control over enhancement parameters for professional photography workflows.
Why: Great finishing tool for polishing images with exceptional denoising and sharpening capabilities for professional workflows.
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Best for Upscale
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Foundation models for hardware design
Dulo is a new startup by Waymo pioneer Sebastian Thrun building foundation models specifically for hardware design. Uses AI to accelerate chip and hardware development cycles.
Why: Novel application of foundation models to hardware design. Thrun's Waymo pedigree and focus on robotics-adjacent hardware make this significant for embodied AI.
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Best for Hardware Design
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A System One Model: typed probabilistic decisions for software, not text for people
Jev is TypeSafe AI's first System One Model, published September 18, 2026 by former OpenAI researcher Diogo Almeida after two years in stealth. It is not an LLM and does not generate text: it takes application state and a structured question and returns a typed, calibrated probability that software can act on directly, what the company calls 'a frontier-intelligence function call.' It uses parallel sampling to produce the whole output at once instead of token-by-token, trained with a method TypeSafe calls Reinforcement Learning for Calibrated Decisions (RLCD). Because the output space is fixed in advance, TypeSafe says it cannot hallucinate. Published workflow evals claim 70-500ms response times and up to 193.6x faster, 444.6x cheaper results than equivalent-intelligence LLM calls on...
Why: It's a genuinely new model class rather than another chat model: built for the automation gap the founder points at directly, 'models have been superhuman at chat for years, so where is all the automation?' The catch is that every multiple above is TypeSafe's own published eval, it's gated behind an early-access waitlist with no public self-serve signup yet, and it only helps if your problem is a bounded decision, not open-ended generation.
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Best for Typed Decisions Inside Software Automation
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Anthropic's most advanced reasoning model for complex multi-step tasks
Claude Mythos 5.1 is Anthropic's flagship Mythos-tier model released September 2026, representing the most advanced reasoning capabilities in the Claude lineup. Built for research, complex analysis, and multi-step problem solving, it features extended thinking chains, controlled research output, and advanced content moderation. Offers configurable reasoning depth (low/medium/high/xhigh/max) to balance accuracy and latency. Also includes optional text watermarking for transparency.
Why: Mythos-tier is Anthropic's highest capability level. Advanced reasoning and extended thinking make it ideal for research teams, scientific analysis, and complex decision support. Research mode outputs improve reproducibility and auditability for institutional use cases.
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Best for Advanced Research
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Professional video upscaling and enhancement
Upscales and enhances video quality using advanced AI models, increasing resolution up to 8K while reducing noise, artifacts, and improving detail. Supports frame interpolation for smooth slow-motion effects, video stabilization, and color correction. Provides professional-grade video enhancement suitable for restoring old footage, improving low-resolution content, and preparing videos for high-resolution displays and professional production workflows. Industry-leading commercial tool with proven AI upscaling technology, widely used by video professionals for restoration and quality improvement.
Why: Industry-leading commercial video enhancement tool with proven AI upscaling technology, widely used by professionals for video restoration and quality improvement.
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Best for Upscaling
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Multimodal model generating image, video and audio from one set of weights
FLUX 3 is Black Forest Labs' multimodal foundation model, announced 23 July 2026. Unlike the FLUX.1 and FLUX.2 image models before it, FLUX 3 learns jointly across images, video and audio in a single unified architecture: it generates video with native synchronised audio, edits images, renders readable text, and, via a FLUX-mimic variant, predicts robot actions, all from the same weights. Video generation runs up to 20 seconds. At launch, video is available through a gated early-access programme, with image generation stated to follow and an open-weight FLUX 3 Dev backbone planned later.
Why: The first credible attempt to collapse image, video and audio generation into a single model rather than a pipeline of separate ones, from the team behind the most widely self-hosted open image models. Access is the catch: video is gated early-access and the open-weight release has not shipped, so treat availability as limited until FLUX 3 Dev lands.
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Alibaba's 2.4-trillion-parameter flagship, currently in preview
Qwen 3.8-Max is Alibaba's largest model yet, announced July 19, 2026, at 2.4 trillion total parameters using a sparse Mixture-of-Experts design. It's multimodal (text, images, video, documents) with a context window in the ~1M-token range (983,616 tokens per Qwen Cloud metadata) and a 131,072-token max output. It's live now as qwen3.8-max-preview through Alibaba's Token Plan, Qoder, and QoderWork at 10% of eventual standard pricing, targeting coding, agentic workflows, and long-horizon 'professional cowork' tasks. Alibaba says open weights are coming but hasn't published a date, license, model card, or full benchmark table yet; the independent number available is Artificial Analysis, which places the preview at 53.4 on its Intelligence Index, rank 11.
Why: Qwen 3.8-Max is Alibaba's answer to the current wave of massive open-weight-adjacent models from Chinese labs, and the discounted preview pricing makes it worth evaluating early even before the full release details land.
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Best for Long-Horizon Agentic Work (Preview)
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