Best AI Tools for AI Agents

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.

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.

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.

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.

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.

GPT-6 Astra is OpenAI's frontier model released September 2026, claimed by the company to mark the onset of artificial general intelligence (AGI). The model can navigate software autonomously without user input, working across browsers, spreadsheets, applications, and producing finished documents and workflows. Features advanced 'recurrent depth' reasoning that operates outside traditional sequential thinking patterns. Solves decades-old mathematics problems and demonstrates autonomous agent capabilities across domains.

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.

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.

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.

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.

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.

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...

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.

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.

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.

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.

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.

Gemini 4 Argon is the first model of Google's Gemini 4 generation, revealed September 30, 2026 by chief AI architect and Google DeepMind SVP Koray Kavukcuoglu — notably skipping a Gemini 3.5 Pro release. Per Google, it delivers frontier performance across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense, scoring 77.9% on DeepSWE v1.1 against GPT-6 Astra, Claude Fable 5.1 and Opus 5.5, tying GPT-6 Astra on CWE-bench and leading the Vals Index. Its output ceiling rises to 1 million tokens, up from 64K. Access is limited to Google's Fairwind Program, serving vetted governments and cyber-authority customers, after a voluntary US government pre-release review; Google has given no general-availability date or pricing.

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.

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.

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.

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.

Eleven v4 and Eleven v4 Turbo are ElevenLabs' text-to-speech models launched September 28, 2026. v4 is the expressive model for narration and long-form audio; Turbo is the real-time version, with a median inference latency of about 100 ms and about 150 ms to first speech, per ElevenLabs. Both cover 90+ languages, take inline audio tags such as [whispers] or [door slams] to steer delivery and add sound effects, and keep pacing steady across long scripts. Instant Voice Clones work from ten seconds of audio, and Professional Voice Clones, unavailable on v3, are supported again. Generations run up to 10,000 characters. Both are available in the ElevenLabs apps, through the API by switching model_id, and in ElevenAgents.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Mistral Large 4 is Mistral's flagship, released in public preview on October 6, 2026. It is a natively multimodal mixture-of-experts model with 1 trillion total parameters and 49 billion active per token, trained on 3,800 NVIDIA Grace Blackwell GPUs in European datacenters across more than 160 languages. Mistral pitches it for cybersecurity, finance, legal and engineering work, and reports 61.7% on DeepSWE v1.1, 93% on Cybench, and results ahead of GPT-6 Astra on vals.ai's Finance Agent v2 and Harvey's legal agent benchmark. It is available now in Mistral Studio and Le Chat at $1.36 per million input tokens and $4.18 per million output tokens. Mistral says open weights follow at the end of October, after safety testing with trusted partners and governments.

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.

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.

Step 5 Preview is StepFun's flagship model, published as downloadable weights on October 15, 2026 after an earlier hosted release. It is a sparse mixture-of-experts model with about 600 billion total parameters and 27 billion active per token, takes text and images as input, returns text, and supports up to one million tokens of context, aimed at coding and long professional work. Weights ship in BF16 and FP8 under the StepFun Model License 1.0, which StepFun describes as Apache-2.0-style with additional attribution and commercial-licence conditions. The model card gives example deployments of four B300 or eight H200 GPUs for FP8, and twice that for BF16, with vLLM, SGLang or Transformers.

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.

OpenShell is NVIDIA's open-source runtime for running AI agents inside a sandbox. It sits beneath the agent harness, runs the agent without privileges, limits which files it can reach, filters system calls at the kernel level, and checks every network request against policy by binary, destination, method and path. Nothing is allowed by default, credentials are only supplied where policy permits, a policy-aware router controls which model endpoints the agent can call, and every decision is logged. It supports Claude Code, Codex, GitHub Copilot CLI, Hermes, LangChain Deep Agents, OpenClaw and OpenCode, and runs on Docker, Podman, Kubernetes via Helm, and NVIDIA DGX Spark and DGX Station. First announced in March 2026, it became the software half of NVIDIA's Open Agent Safety Platform on...

Alibaba's latest open-weight model specialized for coding. At 80B parameters, it matches proprietary performance for local development and autonomous coding agents.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Instinct is a personal AI agent that launched as an invite-only service in August 2026. You text it, and it uses its own phone number and computer to do the task: booking travel and restaurants, ordering groceries, paying bills, cancelling subscriptions and doing research. A concierge feature places phone calls to businesses that have no online booking, and a trusted person network lets your agent coordinate plans directly with friends' Instinct agents. It raised a $1 billion Series C from Sequoia, Benchmark and Coatue at a $10 billion valuation on September 28, 2026.

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.

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.

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.

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.

LFM2.5-24B-A2B is Liquid AI's largest and final LFM2.5 model, released October 13, 2026. It is a mixture-of-experts reasoning model with 24 billion total parameters and 2 billion active per token, thinks before it answers, handles tool calls and multilingual text, and has a 131,072-token context, up from 32,768 in LFM2. Liquid reports 184 tokens per second on an Apple M5 Max and 114 on an AMD Ryzen AI Max+ 395. On its own tables it leads or matches Qwen3.6-35B-A3B on five of eight tool-use and agent benchmarks and all three instruction-following ones, while trailing larger models on coding and knowledge tests. Weights are on Hugging Face under Liquid AI's model licence, with support for llama.cpp, MLX, vLLM, SGLang and ONNX, and a hosted API on Liquid Console.

Atria Dawn Preview is an open-weight preview release from Shanghai AI Laboratory, released around September 11, 2026 under the MIT license. Built on the 744B-parameter MoE GLM-5.2 foundation model, it accepts text input only with a 256K-token context window and is purpose-built for long-horizon research and engineering agents: combining task objectives with environmental feedback to carry a scientific method through problem analysis, tool use, code implementation, experiment execution, result analysis and failure recovery. Across 16 published benchmarks spanning real-world research, engineering and digital work, Shanghai AI Lab reports it is competitive with frontier agents and achieves the top reported score on five of them.

SWE-2 is Cognition's flagship coding model, released September 12, 2026 and built by reinforcement-learning post-training on top of Moonshot AI's 2.8-trillion-parameter open-weight Kimi K3. Cognition reports it matches Claude Fable 5.1 on FrontierCode 1.1 Main (both around 50%) at roughly 64% lower inference cost, scores 73.0% on DeepSWE 1.1 and 92.8% on Terminal-Bench 2.1, but trails Fable 5.1 and GPT-6 Astra by around 30 points on the harder Terminal-Bench 4. It ships with no open weights and no self-serve public API: it is exclusive to Devin's desktop app and CLI, with a Devin Web and Fusion rollout planned. Usage inside Devin is free through mid-October 2026; after that it requires a paid Devin plan, and separate enterprise credit-based API access is priced at $3.00 per million input...

Nemotron 3.5 Super VL is Nvidia's open multimodal model, released October 15, 2026. It has 120 billion total parameters and 12 billion active, combines Mamba-2, mixture-of-experts and attention layers with a C-RADIO vision encoder, accepts images and text, returns text, and supports up to one million tokens of context. Weights ship in BF16 for customisation and NVFP4 for deployment, with a speculative-decoding companion checkpoint, under the OpenMDW-1.1 licence, which permits commercial use. Nvidia also published the datasets and training recipes. Artificial Analysis scores it 26 on its Intelligence Index, the highest of any US open-weight model, while using about 60% fewer output tokens per task than Nemotron 3 Super. A smaller sibling, Nemotron 3.5 Bolt (74B total, 9B active, 256K...

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.

Beam is the first model from Reflection AI, the Nvidia-backed New York lab founded by former Google DeepMind researchers Misha Laskin and Ioannis Antonoglou. Announced October 5, 2026, it is a sparse mixture-of-experts model with 501 billion total parameters and 23 billion active, a 1-million-token context, and text-only input and output. Reflection reports 44.4% on DeepSWE v1.1, 80.1% on Terminal Bench v2.1, 80.9% on SWE-bench Verified and 90.5% on GPQA Diamond, broadly level with Z.ai's GLM-5.2 and behind Qwen3.8 Max and Kimi K3, and claims it reaches GLM-5.2's scores with 3 to 4 times less inference compute. The weights went up on Hugging Face on October 16 under Apache 2.0, in BF16, FP8 and NVFP4, with day-0 support in Transformers, vLLM and SGLang, a Rust-based agent harness, and...

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.

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.

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.

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.

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.

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.