BEST FOR • CURATED

Best AI Tools for AI Agents

Best for AI Agents

We've curated 88 top AI tools specifically selected for ai agents use cases. Each tool is evaluated for quality, reliability, and unique capabilities that make it well-suited for ai agents workflows.

WHY THESE TOOLS

These tools are selected because they excel at ai agents. When choosing, consider:

  • How the tool's specific features align with your ai agents needs
  • Whether the tool offers the right balance of quality, speed, and cost for your use case
  • Integration capabilities if you need to incorporate into existing workflows
  • Scalability for your production requirements
RESULTS
88 tools • curated
Standalone agent-first platform with CLI, SDK, and managed agents
Added May 19, 2026
AI-powered IDE built as a fork of Visual Studio Code, designed with an 'agent-first' paradigm where autonomous AI agents plan, execute, and validate code. Features two primary views: Editor View (traditional IDE with agent sidebar) and Manager View (control center for orchestrating multiple parallel agents across workspaces). Agents generate verifiable 'Artifacts' including task lists, implementation plans, screenshots, and browser recordings. Supports multiple AI models including Gemini 3 Pro, Gemini 3 Deep Think, Gemini 3 Flash, Claude Sonnet 4.5, and open-source GPT variants. Agents have direct access to editor, terminal, and integrated browser, and learn from previous interactions.
Why: Antigravity 2.0 is Google's most credible bid for the agentic IDE seat. The new CLI and SDK make it competitive with Cursor, Claude Code, and Codex for terminal-first and automation workflows.
Freemium Best for Google-Native Agents Visit
The LLM-Ready Web Scraper: Turn Websites into Markdown
Added Jan 31, 2026
Firecrawl is the industry-standard tool for turning entire websites into clean, LLM-ready markdown. It handles all the 'messy' parts of web scraping, including JavaScript rendering, proxy rotation, and anti-bot bypass, automatically. Designed specifically for AI developers, it can crawl entire domains and output structured data that is perfectly formatted for RAG (Retrieval-Augmented Generation) or fine-tuning. It acts as the bridge between the unstructured web and the structured needs of modern AI agents.
Why: Firecrawl is the leader of the 'LLM-Data' movement. We picked it because it's the first scraper that actually understands what AI models need: clean, noise-free markdown without the overhead of traditional scraping libraries.
Enterprise Best for AI Data Extraction Visit
The Post-Search Era: The End of the Blue Link
Added Jan 1, 2026
Perplexity Comet is the spearhead of the 'Post-Search' era, a fundamental shift from ad-driven link lists to source-driven answers. Built on a Chromium foundation, it replaces the traditional browser experience with an autonomous reasoning layer. Comet doesn't just find websites; it navigates them autonomously to perform complex tasks like generating deep-dive research reports, managing multi-service purchases, and summarizing entire web domains in real-time. With its 'Pro Check' feature, it can switch between frontier models like Claude 3.5 and GPT-4o to verify information across thousands of sources simultaneously.
Why: Perplexity Comet represents the death of the traditional search engine. We picked it because it's the first agentic browser to prove that autonomous web navigation and source-backed reasoning are more valuable than a list of 'blue links.'
Free Best for Post-Search Research Visit
The Native Agentic Layer: The Browser as an OS
Added Jan 31, 2026
Google Chrome has evolved from a simple browser into a native agentic layer powered by Gemini 3.0. By integrating Gemini directly into the sidebar and core browsing engine, Chrome can now 'see' and reason across all open tabs. The 'Auto-Browse' feature allows Gemini to autonomously execute multi-step tasks, such as researching complex topics, comparing products across multiple sites, and handling travel bookings, without the user ever leaving the active window. It leverages the full Google ecosystem (Gmail, Calendar, Drive) to act as a unified reasoning layer for the entire web.
Why: We added Chrome to the agentic category because it represents the first time a mainstream browser has integrated a native reasoning engine that can autonomously navigate the web on behalf of the user.
Freemium Best for Native Web Automation Visit
The Invisible OS: Pure Execution via Messaging
Added Jan 27, 2026
Moltbot (also known as Clawdbot) is the spearhead of the 'Invisible OS' movement, a shift away from fragmented apps and toward pure, autonomous execution via messaging. Operating entirely through WhatsApp and Telegram, Moltbot uses advanced reasoning to manage your digital life without a traditional UI. It handles complex, multi-service tasks like clearing your inbox, coordinating calendars, and managing travel logistics (including flight check-ins) autonomously. With persistent memory and a deep 'Persona Onboarding' process, it learns your work patterns and preferences, acting as a unified reasoning layer across your existing services.
Why: Moltbot represents the death of the 'app for everything' era. We picked it because it's the first agentic assistant to prove that reasoning-based execution through simple chat is more powerful than manual task management in 10+ different apps.
Freemium Best for Agentic Automation Visit
The management layer for AI agent workforces
Added Feb 6, 2026
A new enterprise platform designed to deploy, manage, and oversee AI agents as if they were human employees. Focuses on security, task delegation, and agent-to-agent coordination.
Why: OpenAI Frontier is like a 'Manager for Robots.' Instead of you having to talk to 10 different AI tools one by one, Frontier lets you manage them all like a team of employees. It makes sure they stay safe, follow the rules, and work together to get big jobs done for your business.
Enterprise Best for Agent Management Visit
OpenAI's AI browser with agent mode for autonomous tasks
Added Jan 1, 2026
An AI-powered web browser developed by OpenAI, built on Chromium and integrating ChatGPT directly into the browsing experience. Features include webpage summarization, inline text editing, and an 'Agent Mode' that allows ChatGPT to autonomously perform online tasks such as researching topics, planning events, booking appointments, comparing products, and handling repetitive tasks. Currently available for macOS, with Windows, iOS, and Android versions planned. Atlas enables conversational interactions with web content and can navigate websites, fill out forms, and complete multi-step workflows without constant user supervision.
Why: OpenAI's flagship agentic browser with powerful Agent Mode for autonomous task execution and seamless ChatGPT integration.
Freemium Best for Automation Visit
Anthropic's frontier model, currently first on the Artificial Analysis Intelligence Index
Added Aug 4, 2026
Claude Opus 5 is Anthropic's flagship model, released 24 July 2026 with a 1M-token context window and five selectable effort levels (low, medium, high, xhigh, max). Effort is the main control: output token spend runs roughly 8x from low to max, and Artificial Analysis measures a 407-Elo spread in task quality across that range, so the same model behaves like several different price and capability tiers. API pricing is $5 per million input tokens and $25 per million output, with cache writes at $6.25 and cache hits at $0.50. It leads the Intelligence Index at 60.7 and tops the Coding Agent Index, scoring 89 percent on Terminal-Bench v2.1 at max effort and 53 percent on Humanity's Last Exam.
Why: It is the current number one on the independent Artificial Analysis Intelligence Index, and it got there while costing less per task than the model it displaced: $2.03 average per index task against Fable 5's $2.75. The effort dial is the reason to pick it over a fixed-tier model, because one integration covers cheap high-volume calls and expensive long-horizon agent runs.
Freemium Best Frontier Model Overall Visit
OpenAI's top-tier model for complex professional work
Added Jul 9, 2026
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.
Paid Best for Professional-Grade Reasoning Visit
AI system that translates natural language into code
Added Feb 5, 2026
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.
Paid Best for Code Generation Visit
Free AI-powered browser with agentic task automation
Added Jan 1, 2026
Microsoft Edge browser with integrated Copilot Mode, an AI-powered assistant that provides agentic capabilities for web navigation and task automation. Copilot is embedded throughout the browser, overseeing the address bar and new tabs, and providing contextual suggestions by analyzing all open tabs. Features include natural language navigation, tab comparison, content analysis, website discovery, making reservations, managing tasks, and performing complex actions with minimal clicks. Supports both voice and typed commands. Currently free during experimental phase, making it accessible for users wanting agentic browser capabilities without subscription costs.
Why: Best free agentic browser option with comprehensive task automation and Microsoft's AI integration.
Free Best for Productivity Visit
Moonshot AI's 2.8-trillion-parameter open-weight flagship
Added Jul 16, 2026
Kimi K3 is Moonshot AI's open-weight model released July 16, 2026, built at roughly 2.8 trillion parameters. It's available now via kimi.com, Kimi Work, Kimi Code, and the Kimi API, priced at $0.30 per million input tokens (cached), $3.00 per million (uncached), and $15.00 per million output tokens. Moonshot published the full open weights on Hugging Face on July 27, 2026, as promised at launch. Moonshot positions it as approaching Anthropic Fable 5-tier performance at a fraction of the cost, though the company acknowledges a tendency toward 'excessive proactivity' on long-running tasks.
Why: Kimi K3 is one of the most credible open-weight challengers to closed frontier models this year, aggressive enough on pricing and scale that it moved markets, Fortune covered it as a 'DeepSeek shock' moment for AI stocks.
Freemium Best for Open-Weight Frontier Performance Visit
Terminal-based AI coding assistant for agentic development
Added Feb 5, 2026
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.
Paid Best for Terminal Development Visit
xAI's real-time AI assistant
Added Feb 5, 2026
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.
Paid Best for Real-time Visit
xAI's flagship coding model, trained in partnership with Cursor
Added Jul 9, 2026
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.
Paid Best for Long-Running Coding Agents Visit
Anthropic's cheaper, near-Opus everyday model
Added Jun 30, 2026
Claude Sonnet 5 is Anthropic's mid-tier model released June 30, 2026, replacing Sonnet 4.6 as the default model on Claude.ai's Free and Pro plans. It plans, uses tools like browsers and terminals, and runs autonomously, with performance approaching Claude Opus 4.8 on reasoning, tool use, coding, and knowledge work at a fraction of the cost. It also checks its own output without being explicitly asked to.
Why: Sonnet 5 is the practical default for most day-to-day work: it closes much of the gap to Opus-tier performance while staying meaningfully cheaper, and Anthropic made it the automatic replacement for Sonnet 4.6 across the free and Pro tiers.
Freemium Best for Everyday Agentic Work Visit
Open-Source Coding Agents for Private, Fine-Tuned Development
Added Feb 5, 2026
SERA is a family of open-source coding agents developed by the Allen Institute for AI (AI2). It allows developers to customize and fine-tune models on private codebases without exposing sensitive data to external servers. SERA uses synthetic training data to achieve performance comparable to much larger proprietary models at a significantly lower cost.
Why: We added SERA because it is the leading open-source alternative for privacy-conscious developers. It empowers teams to build their own custom coding assistants that understand their specific architectural patterns.
Free Best for Developers Visit
The Open Vision-Reasoner: SOTA Multimodal Performance
Added Jan 31, 2026
Qwen 2.5-VL is Alibaba's state-of-the-art open-weight multimodal model, designed to bridge the gap between open source and proprietary vision-language models. It features advanced 'NaViVi' (Native Dynamic Resolution) architecture, allowing it to process images of any resolution and videos of any length with extreme precision. It excels at complex visual reasoning, document understanding (OCR), and real-time video analysis, matching or exceeding GPT-4o in many multimodal benchmarks while remaining fully open for the community to build upon.
Why: We added Qwen 2.5-VL to the Open Frontier movement because it is currently the highest-performing open-weight vision model. It proves that open source can lead in multimodal reasoning, especially for tasks requiring high-resolution OCR and long-form video understanding.
Free Best for Open Vision Reasoning Visit
The Open-Source Vision Giant: 78B Multimodal Leader
Added Jan 31, 2026
InternVL 2.5 is a world-class open-source multimodal large language model (MLLM) that consistently tops the leaderboards for open-weight vision reasoning. It features a powerful 78B parameter architecture with a specialized vision-language alignment that excels at OCR, document understanding, and complex visual Q&A. It is designed to bridge the gap between open models and GPT-4V, offering exceptional performance across a wide range of multimodal benchmarks while remaining fully open for community development.
Why: We included InternVL 2.5 because it is a consistent leaderboard champion. It often outperforms much larger models in visual reasoning and OCR, making it a critical tool for developers who need GPT-4 level vision without the proprietary lock-in.
Free Best for Leaderboard-Topping Vision Visit
Cursor's agentic coding model for multi-file software engineering
Added May 18, 2026
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.
Paid Best for IDE Autonomy Visit
Open-source, model-agnostic terminal coding agent
Added Jul 7, 2026
OpenCode is an open-source terminal-based coding agent that connects to multiple language models and performs autonomous software engineering tasks from the command line. It edits files, runs tests, manages git workflows, and iterates on code with minimal human intervention. The v1.17.8 release from June 2026 improves tool calling reliability, multi-file refactoring, and support for local and remote model backends.
Why: OpenCode is the best 'bring-your-own-model' coding agent for developers who want full control. Because it is open source and runs in the terminal, it fits naturally into existing CI/CD and shell-centric workflows without locking you into a specific vendor.
Free Best for Terminal Coding Visit
xAI's agentic coding CLI for autonomous software engineering
Added May 14, 2026
Grok Build is an agentic command-line coding assistant from xAI that understands natural-language project descriptions, generates and edits code across files, runs commands, and iterates until tasks are complete. The beta released on May 14, 2026 emphasizes deep codebase reasoning, fast iteration loops, and tight integration with xAI's Grok models.
Why: Grok Build brings xAI's frontier reasoning directly into the terminal, making it a strong alternative to other agentic coding CLIs. It is particularly useful for developers already embedded in the X and xAI ecosystem who want a fast, opinionated agent.
Freemium Best for Agentic CLI Visit
Google's personal AI agent for proactive assistance
Added May 19, 2026
Gemini Spark is a personal AI agent announced at Google I/O on May 19, 2026. It is designed to take initiative across Google services and devices, handling tasks like scheduling, search, content summaries, and cross-app actions on behalf of the user.
Why: Gemini Spark is Google's answer to the emerging personal-agent category. By integrating deeply with Gmail, Calendar, Maps, and Android, it can automate everyday tasks that previously required switching between apps.
Freemium Best for Personal Agent Visit
Mistral's unified work and coding agent
Added May 28, 2026
Mistral Vibe is Mistral's unified agent for work and coding, rebranded from Le Chat and launched on May 28, 2026. It combines chat, document analysis, code generation, and tool use into a single assistant aimed at both professional and consumer use.
Why: Mistral Vibe brings Mistral's strong European model lineage into a competitive all-in-one agent. It is a good choice for users who want a privacy-conscious alternative to US-centric assistants with solid coding skills.
Freemium Best for European AI Assistant Visit
The ceiling of enterprise autonomy with 1M context
Added Feb 6, 2026
Anthropic's most powerful model, designed for autonomous software engineering and complex reasoning. It can build entire systems from scratch and maintain coherence over a 1M token window.
Why: Claude Opus 4.6 is like a super-smart digital architect. While most AI can only write short snippets, Opus can 'see' your entire project (up to 1 million words) at once. It doesn't just help you code; it can actually build complex software systems from scratch, making it the best choice for big companies that need an AI 'teammate' rather than just a chatbot.
Enterprise Best for Autonomy Visit
MiniMax's 1M-context agentic frontier model
Added May 31, 2026
MiniMax M3 is a 1-million-token-context agentic frontier model released on May 31, 2026. It supports long-document analysis, coding, multi-turn agent workflows, and tool use, positioning it as a general-purpose assistant with an exceptionally large context window.
Why: MiniMax M3's 1M context window makes it competitive for tasks that require digesting entire codebases, books, or video transcripts in a single pass. It is a strong option for long-context agentic applications.
Freemium Best for 1M Context Visit
80B parameter open-weight coding powerhouse
Added Feb 6, 2026
Alibaba's latest open-weight model specialized for coding. At 80B parameters, it matches proprietary performance for local development and autonomous coding agents.
Why: Qwen3-Coder-Next is the best 'Private Brain' for coders. Most AI tools send your secret code to the internet, but this one can live entirely on your own computer. It's just as smart as the big paid tools, but it keeps your work 100% private and safe.
Free Best for Open Coding Visit
The first research stack built entirely by AI agents
Added Feb 6, 2026
An open-source research stack spanning Python, JS, C++, and CUDA, engineered from the ground up by autonomous AI coding agents. Optimized for high-performance tensor operations.
Why: A glimpse into the future of engineering. It's the first major technical stack where the AI wasn't just a helper, but the lead architect and builder.
Free Best for AI Research Visit
The platform for frontend and AI-first applications
Added Feb 5, 2026
Vercel is the default deployment platform for modern web apps. Their v0.dev integration allows for generative UI creation, while their Edge Network ensures AI responses are delivered with minimal latency.
Why: The vertical integration of v0.dev and Edge compute makes Vercel the fastest path from prompt to production for AI applications. It's the only platform that optimizes the entire stack from generative UI to low-latency model inference at the edge, making it indispensable for high-performance AI startups.
Enterprise Best for Deployment Visit
The Bloomberg Terminal for AI agent observability
Added Feb 5, 2026
LangSmith provides full-stack observability for LLM applications. It allows you to trace every step of an agent's reasoning, debug hallucinations, and monitor costs in real-time.
Why: LangSmith is like a 'Security Camera' for your AI. Sometimes AI gets confused or makes mistakes, and LangSmith lets you watch exactly what it was thinking so you can fix it. It's the best way to make sure your AI stays helpful and doesn't waste money.
Enterprise Best for Observability Visit
The open-source Firebase alternative with Vector support
Added Feb 5, 2026
Supabase provides a unified backend stack including a Postgres database, authentication, and storage. Their native Vector support makes it the premier choice for building RAG-based AI applications.
Why: Supabase is the 'All-in-One Toolbox' for building AI apps. It gives you a database, a way for users to log in, and a place for the AI to store its memory all in one spot. It's the easiest way to go from an idea to a working app without needing 10 different services.
Enterprise Best for Backend Visit
The industry standard for coding and nuanced instruction following
Added Feb 6, 2026
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.
Paid Best for Coding Visit
The first agentic IDE with Flow-state intelligence
Added Feb 5, 2026
Codeium's Windsurf is an agentic IDE that features 'Flow', a system where the AI and developer work in a continuous, shared context. It excels at autonomous bug fixing and complex feature implementation.
Why: Windsurf is like a 'Mind-Reading Partner' for coders. It uses a special 'Flow' mode where it stays perfectly in sync with what you're doing. It doesn't just suggest code; it actually understands the 'why' behind your work and helps you fix big problems automatically.
Freemium Best for Agentic Flow Visit
The autonomous agent for full-stack deployment
Added Feb 5, 2026
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.
Paid Best for Autonomy Visit
The secure backbone for agentic AI applications
Added Feb 5, 2026
RANA 2.0 provides the security guardrails and performance hooks required for production-grade AI agents. It integrates with Cursor and Windsurf to provide 120x faster development with 70% cost savings.
Why: The 'Security' play. As agents become autonomous, the RANA framework provides the essential safety and cost-optimization layer for enterprise deployment.
Enterprise Best for Security Visit
The agentic browser that takes action on the web
Added Feb 5, 2026
MultiOn is an AI agent that can use a web browser like a human. It can book flights, buy products, and fill out complex forms autonomously across any website.
Why: The bridge to the 'Action' economy. It moves AI from 'talking' to 'doing' by interacting with the legacy web on behalf of the user.
Enterprise Best for Actions Visit
One multimodal model for text, vision, audio, and video reasoning
Added May 3, 2026
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.
Paid Best for Agents Visit
The first browser with a native AI command center
Added Feb 6, 2026
Opera One R2 features 'Aria', a native AI that can control browser functions, summarize tabs, and generate content directly within the UI. It includes a dedicated AI command center for agentic workflows.
Why: The most innovative UI for AI. It treats AI as a primary browser control layer rather than just a sidebar plugin.
Free Best for AI UI Visit
Alibaba's open-source MoE flagship with thinking modes
Added Apr 28, 2025
Qwen 3 is a 2025 open-weight Mixture-of-Experts model family from Alibaba Cloud, ranging from 0.6B to 235B parameters. It supports both thinking and non-thinking modes, strong multilingual performance, and agentic tool use, and is released under permissive licenses.
Free Best for Open-Source Agents Visit
Alibaba's closed-API flagship before Qwen 3
Added Jan 28, 2025
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.
Paid Best for API Flagship Visit
Alibaba's strongest vision-language model
Added Jan 29, 2024
Qwen-VL-Max is a high-performance vision-language model from Alibaba, capable of understanding images, charts, and documents, and answering questions about them. It is available through the Qwen API and Tongyi Qianwen apps.
Freemium Best for Vision-Language Visit
Fast, low-cost Claude model with extended thinking and Computer Use
Added Oct 15, 2025
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.
Paid Best for Fast, Low-Cost Agents Visit
Balanced Sonnet model with major coding and agentic improvements
Added Sep 29, 2025
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.
Paid Best for Balanced Coding Agents Visit
Frontier Opus model with higher-resolution vision and xhigh effort
Added Apr 16, 2026
Anthropic's frontier Opus-tier model announced on April 16, 2026, with substantial gains on the hardest coding tasks, higher-resolution vision input, a new xhigh effort level, file-system-based memory recall across sessions, and the Task Budgets public beta. Available across the Anthropic API, Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Foundry.
Why: Opus 4.7 introduced the xhigh effort level and file-system memory recall, making it a notable step between Opus 4.6 and Opus 4.8.
Enterprise Best for Hard Coding Tasks Visit
Cursor's first-generation agentic coding model
Added Nov 1, 2025
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.
Paid Best for Agentic Editing Visit
High-volume DeepSeek inference with a 1M-token context window
Added Apr 24, 2026
DeepSeek V4-Flash is the efficient sibling of V4-Pro, offering a 1M-token context window and configurable thinking modes at a fraction of the API cost. It is optimized for high-throughput chat, classification, bulk extraction, and agentic coding workloads, with a July 2026 update that boosted agent and coding benchmarks.
Why: V4-Flash delivers the same 1M context and thinking modes as V4-Pro at roughly one-third the API cost, making it the practical default for most production workloads.
Freemium Best for High-Volume APIs Visit
Ultra-low-latency text-to-speech for real-time voice agents
Added Dec 1, 2024
Delivers high-quality speech synthesis with approximately 75ms latency across 32 languages, optimized for real-time voice agents, chatbots, interactive applications, and large-scale TTS processing. Balances speed and naturalness while keeping voice characteristics consistent across languages.
Why: The fastest ElevenLabs TTS model for production voice agents and real-time interactive experiences where latency matters.
Freemium Best for Real-Time Voice Visit
744B-parameter open-weight MoE flagship for agentic planning and execution
Added Feb 11, 2026
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.
Paid Best for Open-Weight Frontier Visit
MIT-licensed MoE flagship for 8-hour autonomous coding sessions
Added Apr 7, 2026
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.
Paid Best for Long-Horizon Coding Visit
Optimized GLM-5 variant for fast sequential task execution
Added Jun 1, 2026
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.
Paid Best for Fast Sequential Tasks Visit
Mid-range coding and tool-calling model with 200K context
Added Sep 1, 2025
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.
Paid Best for Coding & Tool Calls Visit
Cost-efficient reasoning, coding, and agent model
Added Jul 1, 2025
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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Multimodal coding and visual-reasoning agent model
Added Jun 1, 2026
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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Fast, cost-efficient multimodal model with a 1M context window
Added May 21, 2024
Gemini 1.5 Flash is a lightweight, speed-optimized variant of Gemini 1.5 Pro. It keeps the same 1M-token context window and multimodal input support while offering much lower latency and cost, making it ideal for high-volume agents and summarization.
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Google's low-latency agentic model with native tool use
Added Dec 11, 2024
Gemini 2.0 Flash is a late-2024 general-purpose model optimized for agentic workflows, native tool use, and fast multimodal output. It supports text, image, audio, and video input and is the default model for many Gemini API applications.
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OpenAI's balanced GPT-5.6 model for intelligence and cost
Added Jul 9, 2026
GPT-5.6 Terra is the mid-tier model in OpenAI's GPT-5.6 family, released alongside Sol and Luna in July 2026. It shares the same 1.05M-token context window and 128K max output as Sol but is optimized for workloads that balance capability, latency, and cost. It supports text and image input, function calling, web search, file search, computer use, image generation, and code interpreter, making it a practical default for general-purpose reasoning and agentic workflows.
Why: Terra is the sensible default for most GPT-5.6 work: it delivers the lion's share of Sol's capability at roughly 40% of the cost and is the default model for ChatGPT Free and Go users.
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OpenAI's cost-optimized GPT-5.6 model for high-volume workloads
Added Jul 9, 2026
GPT-5.6 Luna is the smallest and cheapest model in OpenAI's GPT-5.6 family, released alongside Sol and Terra in July 2026. It is designed for cost-sensitive, high-volume workloads where latency and price matter more than absolute frontier performance. It shares the same 1.05M-token context window and multimodal input support as Sol and Terra, making it suitable for classification, summarization, light coding, chat, and high-throughput agent workflows.
Why: Luna brings GPT-5.6-scale capabilities to high-volume applications at roughly one-tenth of Sol's cost, with strong enough performance for everyday tasks and broad API availability.
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xAI's high-volume, 2M-context workhorse model
Added Nov 1, 2025
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.
Paid Best for Volume and Cost Efficiency Visit
xAI's 2M-context beta model with multi-agent capabilities
Added Feb 1, 2026
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
Added Aug 1, 2025
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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Tencent's fast, cost-efficient flagship Hunyuan model
Added Jan 10, 2026
A 200K-context open-weight Hunyuan model optimized for speed while maintaining strong performance on general chat, coding, and agentic tasks. It also serves as the base for the Hunyuan T1 reasoning model.
Why: Speed-optimized Hunyuan flagship with a 200K context window and strong price/performance for production APIs.
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Tencent's latest open-source MoE flagship with tool use
Added Apr 22, 2026
Open-weight preview of Hunyuan 3 (Hy3), a 295B-parameter MoE model with 21B active parameters and a 262K context window. Supports reasoning, function calling, and tool use, and is available via OpenRouter and Tencent Cloud TI Platform.
Why: Tencent's strongest open-source Hunyuan model to date, with competitive coding and agentic benchmarks.
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Moonshot's open-weight multimodal generalist with agent swarms
Added Jan 27, 2026
Kimi K2.5 is Moonshot AI's open-weight multimodal model released January 27, 2026. It supports text, image, and video input, thinking and non-thinking modes, and a 256K context window, with strong performance on agent, coding, and vision tasks. Moonshot announced the kimi-k2.5 API will be retired on August 31, 2026, so production workloads should plan a migration path to K2.6 or K3.
Why: Kimi K2.5 was Moonshot's first widely available open-weight multimodal generalist and remains a notable reference point for the K2 family before K2.6 and K3 arrived.
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Moonshot's open-weight multimodal successor with long-context coding stability
Added Apr 21, 2026
Kimi K2.6 is Moonshot AI's open-weight multimodal model released April 21, 2026. It supports text, image, and video input, thinking and non-thinking modes, and a 256K context window, with improved long-context coding stability and agent-task performance.
Why: Kimi K2.6 improves on K2.5 with stronger long-context coding and is a practical open-weight alternative for teams that want multimodal agents without the cost of closed frontier models.
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Faster inference variant of Kimi's coding specialist
Added Jun 12, 2026
Kimi K2.7 Code Highspeed is the high-speed serving variant of Moonshot AI's K2.7-Code model, released June 12, 2026. It delivers roughly 180 tokens per second for coding tasks while preserving the same 256K context window, text/image/video input, and thinking-mode capabilities.
Why: Kimi K2.7 Code Highspeed is the latency-optimized version of an already strong coding model, making it a good pick for interactive coding agents and live pair-programming workflows.
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Conversational AI agent for end-to-end 3D creation
Added Jul 21, 2026
Meshy 3D Agent is a chat-first AI assistant that brainstorms, refines, and generates 3D models from text, images, or sketches inside a single ongoing conversation. It also supports in-chat rigging, animation, and Q&A for 3D printing and game pipelines.
Why: It preserves creative context across multiple steps, helping small teams produce stylistically consistent asset sets without restarting every prompt.
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Efficient 70B open model matching 405B quality
Added Dec 6, 2024
Llama 3.3 is Meta's 70B-parameter multilingual instruction-tuned model, released in December 2024. It delivers text-only performance comparable to the much larger Llama 3.1 405B model while running far more efficiently, with a 128K-token context window and broad language support.
Why: Llama 3.3 is the practical sweet spot in the Llama family: it gives users near-frontier open-model quality in a 70B package that is far cheaper to host and fine-tune than the 405B model.
Free Best for Efficient Open LLMs Visit
Low-code platform for building and managing custom AI agents
Added Nov 1, 2023
Microsoft Copilot Studio is a graphical, low-code SaaS platform for designing custom AI agents and agentic workflows. It connects to enterprise data sources, publishes agents across Teams, websites, and apps, and can extend Microsoft 365 Copilot with custom knowledge and actions.
Why: The tool that turns the Microsoft Copilot ecosystem into a custom agent platform without requiring heavy coding.
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Recursive self-improvement language model for real-world engineering
Added May 1, 2026
MiniMax M2.7 is a general-purpose language model built for real-world engineering, professional office tasks, and character-rich interaction. It is positioned as MiniMax's mid-tier coding and agentic model alongside the larger M3.
Why: MiniMax M2.7 is the current production language model below M3 and is explicitly listed as beginning recursive self-improvement, making it a notable addition to the family.
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Same M2.7 performance with significantly faster inference
Added May 1, 2026
MiniMax M2.7 Highspeed delivers the same benchmark performance as M2.7 with reduced latency, aimed at polyglot code mastery, precision refactoring, and interactive applications.
Why: The Highspeed variant is a current, actively promoted option for developers who need M2.7 capability with lower latency.
Freemium Best for Low-Latency Coding Visit
Mistral's mid-tier workhorse for reasoning, coding, and instruction
Added May 22, 2026
A mid-tier model that balances performance and cost, optimized for instruction following, reasoning, and coding. It powers Mistral Vibe and is positioned as the practical alternative to retired Mistral Large 2.1.
Why: Mistral Medium 3.5 delivers strong performance at a lower cost than the flagship, making it the sensible default for most business and development workloads.
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Unified open-source small model for chat, reasoning, vision, and coding
Added May 1, 2026
A 119B-parameter MoE model with 6B active parameters and a 256K context window, released under Apache 2.0. It unifies instruct, reasoning, multimodal, and agentic coding capabilities in a single efficient model with configurable reasoning effort.
Why: Small 4 packs flagship-class reasoning, vision, and coding into a single open-source model that is efficient enough for high-throughput and local deployments.
Freemium Best for Efficient Open Multimodal Visit
Mistral's open-weight speech understanding and TTS models
Added Jul 1, 2025
A family of open-weight speech models including a 24B production variant and a 3B edge variant, released under Apache 2.0. It supports transcription, audio understanding, summarization, Q&A, and function calling from voice with multilingual support.
Why: Voxtral offers open-weight speech understanding and synthesis at a fraction of the cost of proprietary alternatives, making it practical for production voice agents.
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Compact 30B open-weight model with configurable reasoning for agents
Added Jun 4, 2026
A 30B total / 3B active parameter hybrid Mamba-2 + Transformer MoE language model built for efficient on-device and edge agentic tasks. It features a 1M-token context window, reasoning ON/OFF modes with configurable thinking budgets, and up to 4× faster throughput than its predecessor.
Why: The smallest open-weight member of the Nemotron 3 family, giving teams frontier-style reasoning and tool-use without data-center hardware.
Free Best for Efficient Agents Visit
120B open-weight hybrid MoE for efficient multi-agent reasoning
Added Jun 4, 2026
A 120B total / 12B active parameter hybrid Mamba-Transformer MoE language model with LatentMoE, multi-token prediction, and native NVFP4 pretraining. Optimized for complex multi-agent applications with a 1M-token context window and up to 5× higher throughput than the previous Nemotron Super.
Why: Fills the gap between Nano and Ultra with a strong efficiency-to-accuracy ratio for agentic orchestration and latency-sensitive serving.
Free Best for Multi-Agent Efficiency Visit
Autonomous research agent that performs multi-source deep dives
Added Feb 14, 2025
Sonar Deep Research conducts autonomous, multi-step research across many web sources and synthesizes a comprehensive, cited report. It is built for tasks that would otherwise require hours of manual investigation, such as competitive analysis and literature reviews.
Why: Sonar Deep Research is the most agentic member of the Sonar family, capable of running lengthy, autonomous research workflows and producing publishable reports.
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Anonymous 1M-context reasoning model available free through OpenRouter
New this month Added Aug 20, 2026
Ox Alpha is a stealth AI model that appeared on OpenRouter and OpenCode on 20 August 2026. Its creator is unidentified, and OpenRouter routes requests to an anonymous third-party provider. The model accepts text, images and video, outputs text, and supports a 1,048,576-token context window with up to 131,072 tokens of output. Independent serving-layer forensics published on 22 August 2026 point to Zhipu AI's GLM-5.x infrastructure as the leading theory — a Java stack trace naming Zhipu's internal API classes, matching error-code dialects, 30/30 tokenizer alignment with GLM-5.3, and identical video-encoder behaviour to GLM-5V-Turbo. Zhipu has not confirmed this.
Why: The combination of a one-million-token context window, multimodal inputs, free pricing during the preview, and rapid adoption by coding-agent builders makes it worth tracking even before its creator is known. Within a day of launch, coding agents had pushed billions of tokens through it, suggesting real production interest rather than curiosity traffic. Preliminary independent DeepSWE testing also places it ahead of Claude Fable 5 and GPT-5.6 Sol on a small task subset.
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Minimalist, container-isolated personal AI agent framework
New this month Added Aug 20, 2026
NanoClaw is an open-source personal AI agent runtime built by Gavriel Cohen as a smaller, auditable alternative to OpenClaw. Each agent session runs in its own Docker container with scoped permissions and self-destructs when the task ends. In August 2026 it added a Slack integration that lets you provision persistent AI agent teams and colleagues from a single message, running on customer infrastructure.
Why: The agent landscape is polarised between all-in-one platforms with huge codebases and small, custom rigs. NanoClaw occupies the small, auditable end: roughly 500 lines of TypeScript, container isolation by default, and a fork-and-own model that makes the agent's capabilities explicit rather than hidden behind plugins.
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Google's coding workhorse, three weeks after 3.6 Flash
New this month Added Aug 13, 2026
Gemini 3.7 Flash is Google's Flash-tier model, released 13 August 2026 — three weeks after Gemini 3.6 Flash and ahead of the still-delayed Gemini 3.5 Pro. Google calls it its most capable Flash model, built for complex coding, agentic workflows and reliable multi-step execution, and it ships as model ID gemini-3.7-flash. On every benchmark Google published it improves on 3.6 Flash: DeepSWE v1.1 65.3% against 49.0%, FrontierCode 1.1 Main 43.6% against 34.4%, GDP.pdf 34.0% against 22.0%, AutomationBench 30.4% against 17.0%, and WebDev Arena 1588 Elo against 1538.
Why: It is the cheapest route to a current-generation Google coding model. Introductory pricing runs at half the standard Flash rate until the end of 2026, and the published jump over 3.6 Flash is large enough to matter on exactly the agentic and web-development work Flash-tier models are usually bought for.
Freemium Best for Coding Value Visit
Microsoft's unified AI model family from Build 2026
Added Jul 7, 2026
Microsoft announced a family of MAI-branded models at Build 2026, including MAI-Thinking-1 for reasoning, MAI-Image-2.5 for image generation and editing, MAI-Voice-2 for expressive text-to-speech, MAI-Transcribe-1.5 for speech-to-text, MAI-Code-1-Flash for coding in GitHub Copilot, and Scout as a workplace personal agent. They integrate tightly with Microsoft 365, Azure, and GitHub.
Why: The MAI family gives Microsoft a cohesive, enterprise-ready AI stack. For organizations already using Microsoft services, these models reduce friction by running inside familiar tools rather than requiring separate platforms.
Enterprise Best for Microsoft Ecosystem Visit
30B on-device AI agent, runs natively on consumer hardware
New Added Sep 1, 2026
Muse Glimmer is Meta's 30 billion parameter open-weight model released August 2026, designed to run autonomous AI agents directly on consumer hardware without cloud dependency. It ships under the permissive Apache 2.0 license (Meta's first fully open release since moving to proprietary Muse Spark in April), quantized to roughly 4 bits with block-level speculative decoding for fast local inference. Drops the 700M monthly user restriction that hampered prior Llama releases.
Why: Open weights on Apache 2.0, runs on consumer hardware, removes user-count restrictions that hampered Llama. For teams building local-first or edge-deployed agents, this eliminates licensing friction and eliminates inference costs.
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Z.ai's post-trained coding and agentic model on the GLM-5.2 base
New this month Added Aug 14, 2026
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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Meta's closed-weight agentic model, and its first paid model API
Added Aug 4, 2026
Muse Spark 1.1 is Meta Superintelligence Labs' multimodal reasoning model, released 9 July 2026. It has a 1M-token context window, accepts text, images, video and PDFs, and is built for agentic work: tool use, computer use, coding, and multi-agent orchestration. It is free to use in the Meta AI app and at meta.ai in Thinking mode, and available to developers through the new Meta Model API at $1.25 per million input tokens and $4.25 per million output, with $20 in starting credits. Unlike the Llama family it succeeds in practice, Muse Spark is closed-weight.
Why: This is the release where Meta stopped giving models away. Muse Spark is closed, metered and sold through Meta's own API, and it lands at rank 15 on the independent index while undercutting comparable models on price. Worth tracking for that reason alone if your stack assumed Meta meant open weights.
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NVIDIA's 550B open-weights reasoning model, built for inference speed
Added Aug 4, 2026
Nemotron 3 Ultra is the largest member of NVIDIA's Nemotron 3 family, released 4 June 2026 at Computex. It is a 550B-parameter hybrid latent mixture of experts with roughly 55B parameters active per token, combining Mamba and Transformer blocks, and trained in NVIDIA's 4-bit NVFP4 format on Blackwell hardware. It ships under the NVIDIA Open Model License, which permits commercial use, and NVIDIA published training data, reinforcement learning environments and post-training recipes alongside the weights rather than the weights alone. Weights are on Hugging Face as nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B in both BF16 and NVFP4, and it is served through OpenRouter, Together AI, Baseten, DeepInfra, Fireworks and NVIDIA NIM.
Why: The architecture is optimised for throughput rather than peak benchmark score, and it shows: over 400 output tokens per second at 550B parameters. It is also the most openly documented release at this scale, because publishing the datasets and post-training recipes lets you actually reproduce and extend the model instead of just running it.
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Autonomous AI agent for complex multi-step workflows and research automation
Added Jan 1, 2026
Manus is an autonomous AI agent developed by Butterfly Effect Pte. Ltd. (acquired by Meta Platforms in December 2026) designed to independently perform complex real-world tasks without continuous human guidance. Launched in March 2026, Manus leverages real-time data retrieval, multi-step reasoning, and API integrations to execute complex analytics, research, and task automation. The agent can handle tasks from simple prompts to complex multi-step workflows, making it suitable for research, data analysis, and autonomous task execution. Meta acquired Manus for over $2 billion to enhance its AI assistant and enterprise tools, integrating the technology into products like Meta AI.
Why: Pioneering autonomous AI agent platform with proven real-world task execution capabilities, now backed by Meta's resources.
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Google's faster, sharper agentic-coding upgrade to 3.5 Flash
Added Jul 21, 2026
Gemini 3.6 Flash is Google's high-efficiency multimodal model released July 21, 2026, succeeding Gemini 3.5 Flash. It has a 1,048,576-token (1M) context window with up to 65,536 output tokens, accepts text, image, speech, and video input, and outputs text. It beats Gemini 3.5 Flash on every benchmark Google published, including 58.7% vs 55.1% on SWE-Bench Pro and 83.0% vs 78.4% on OSWorld-Verified, scoring 50 on the Artificial Analysis Intelligence Index at roughly 275.5 tokens/second output speed.
Why: Gemini 3.6 Flash is the clearest upgrade path for teams already running high-volume agentic and coding workloads on Flash-tier pricing. It delivers a real benchmark jump over 3.5 Flash without moving up to Ultra-tier cost.
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Alibaba's 2.4-trillion-parameter flagship, currently in preview
Added Jul 19, 2026
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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753B open-weight MoE coding model with a 1M-token context, MIT licensed
Added Aug 4, 2026
GLM-5.2 is Zhipu AI's (Z.ai) flagship open-weight model, released 13 June 2026 under an MIT licence with weights published on Hugging Face at zai-org/GLM-5.2. It is a 753B-parameter mixture-of-experts model activating roughly 40B parameters per token, with a 1M-token context window and 128K maximum output. The headline architectural change is IndexShare, which reuses the same indexer across every four sparse attention layers; Z.ai reports this cuts per-token compute by about 2.9x at full 1M context. It targets long-horizon agentic coding, multi-file refactors, terminal work, and tasks that run for many steps rather than single completions.
Why: The strongest open-weight coding model published to date: 62.1 on SWE-bench Pro against GPT-5.5's 58.6, and 81.0 on Terminal-Bench 2.1, at roughly a sixth of GPT-5.5's API price. The MIT licence carries no regional restrictions, so the weights can genuinely be self-hosted commercially, which is the reason to choose it over a closed model of similar strength.
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