Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...
GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...
Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use
Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...
Google's proven reasoning model for coding, math, and multimodal analysis
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Codex GPT for repository edits, code review, and practical software agents
Coding-optimized GPT model for repository edits, reviews, and agentic software work
Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...
Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),...
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...
Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter...
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...
Reasoning-optimized 398B MoE agent model with extended thinking for long-horizon and multi-turn tool use
Small GPT-5 for responsive agents, coding help, and everyday automation
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It...
DeepSeek chat model for instruction following, coding, and analysis
Fast Gemini workhorse for multimodal apps where latency and price matter
Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...
Coding-optimized GPT model for repository edits, reviews, and agentic software work
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
Tiny GPT-5 lane for routing, extraction, classification, and bulk jobs
Low-latency Gemini model for high-volume multimodal and agent workloads
Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost...
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
Long-lived GPT workhorse for coding, instruction following, and production apps
Deliberate o-series reasoner for hard math, coding, and multi-step analysis
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....
The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.
Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Z.ai: GLM 4.6z-ai/glm-4.6 | 1180.0 | 198K | $0.43 | $1.75 | — | |||
| Qwen: Qwen3 Coder 480B A35B (free)qwen/qwen3-coder:free | 1180.0 | 262K | Free | Free | — | |||
| Z.ai: GLM 4.5z-ai/glm-4.5 | 1180.0 | 131.072K | $0.6 | $2.2 | — | |||
| DeepSeek V3.2deepseek/deepseek-v3.2 | 1179.0 | 128K | $0.18 | $0.35 | 2025-12-01 | |||
| Anthropic: Claude Opus 4anthropic/claude-opus-4 | 1176.0 | 200K | $15 | $75 | — | |||
| Gemini 2.5 Progoogle/gemini-2.5-pro | 1167.0 | 1.04858M | $1.25 | $10 | 2025-06-17 | |||
| Google: Gemini 2.5 Pro (batch)google/gemini-2.5-pro:batch | 1167.0 | 1.04858M | $0.625 | $5 | — | |||
| GPT-5.1 Codexopenai/gpt-5.1-codex | 1167.0 | 400K | $1.07 | $8.5 | 2025-11-13 | |||
| GPT-5.3 Codexopenai/gpt-5.3-codex | 1159.0 | 400K | $1.75 | $14 | 2026-02-05 | |||
| Qwen: Qwen3 Coder 480B A35Bqwen/qwen3-coder | 1158.0 | 262.144K | $0.3 | $1 | — | |||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | 1157.0 | 262.144K | $0.5 | $1.5 | — | |||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | 1157.0 | 262.144K | $0.25 | $0.75 | — | |||
| NVIDIA: Nemotron 3 Ultra (batch)nvidia/nemotron-3-ultra-550b-a55b:batch | 1156.0 | 512.288K | $0.6 | $3.6 | — | |||
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 1156.0 | 200K | $3 | $15 | — | |||
| NVIDIA: Nemotron 3 Ultra (free)nvidia/nemotron-3-ultra-550b-a55b:free | 1154.0 | 1M | Free | Free | — | |||
| Nemotron 3 Ultra 550B A55Bnvidia/nemotron-3-ultra-550b-a55b | 1154.0 | 1M | $0.5 | $2.5 | 2026-06-04 | |||
| DeepSeek: R1 0528deepseek/deepseek-r1-0528 | 1153.0 | 163.84K | $0.5 | $2.15 | — | |||
| Z.ai: GLM 4.5 Airz-ai/glm-4.5-air | 1152.0 | 131.072K | $0.13 | $0.85 | — | |||
| MiniMax: MiniMax M2minimax/minimax-m2 | 1150.0 | 204.8K | $0.255 | $1.02 | — | |||
| Mistral: Mistral Medium 3.1 (batch)mistralai/mistral-medium-3.1:batch | 1135.0 | 131.072K | $0.2 | $1 | — | |||
| Mistral: Mistral Medium 3.1mistralai/mistral-medium-3.1 | 1135.0 | 131.072K | $0.4 | $2 | — | |||
| Trinity Large Thinkingarcee-ai/trinity-large-thinking | 1132.0 | 524.288K | $0.25 | $0.9 | 2026-04-01 | |||
| GPT-5 Miniopenai/gpt-5-mini | 1130.0 | 400K | $0.25 | $2 | 2025-08-07 | |||
| Anthropic: Claude Haiku 4.5 (batch)anthropic/claude-haiku-4.5:batch | 1130.0 | 200K | $0.5 | $2.5 | — | |||
| OpenAI: GPT-5 Mini (batch)openai/gpt-5-mini:batch | 1130.0 | 400K | $0.125 | $1 | — | |||
| Anthropic: Claude Haiku 4.5anthropic/claude-haiku-4.5 | 1130.0 | 200K | $1 | $5 | — | |||
| DeepSeek: DeepSeek V3.1deepseek/deepseek-chat-v3.1 | 1127.0 | 163.84K | $0.25 | $0.95 | — | |||
| Qwen: Qwen3 Maxqwen/qwen3-max | 1125.0 | 262.144K | $0.78 | $3.9 | — | |||
| DeepSeek Chatdeepseek/deepseek-chat | 1123.0 | 1M | $0.147 | $0.295 | 2025-12-01 | |||
| Gemini 2.5 Flashgoogle/gemini-2.5-flash | 1119.0 | 1.04858M | $0.3 | $2.5 | 2025-06-17 | |||
| Google: Gemini 2.5 Flash (batch)google/gemini-2.5-flash:batch | 1119.0 | 1.04858M | $0.15 | $1.25 | — | |||
| MoonshotAI: Kimi K2 0905moonshotai/kimi-k2-0905 | 1113.0 | 262.144K | $0.6 | $2.5 | — | |||
| GPT-5.1 Codex miniopenai/gpt-5.1-codex-mini | 1109.0 | 400K | $0.22 | $1.8 | 2025-11-13 | |||
| OpenAI: GPT-5 Nano (batch)openai/gpt-5-nano:batch | 1099.0 | 400K | $0.025 | $0.2 | — | |||
| GPT-5 Nanoopenai/gpt-5-nano | 1099.0 | 400K | $0.05 | $0.4 | 2025-08-07 | |||
| Gemini 3.1 Flash Lite Previewgoogle/gemini-3.1-flash-lite-preview | 1087.0 | 1.04858M | $0.25 | $1.5 | 2026-03-03 | |||
| Mistral: Mistral Medium 3mistralai/mistral-medium-3 | 1084.0 | 131.072K | $0.4 | $2 | — | |||
| Mistral: Ministral 3 14B 2512mistralai/ministral-14b-2512 | 1080.0 | 262.144K | $0.2 | $0.2 | — | |||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | 1068.0 | 262.144K | $0.075 | $0.075 | — | |||
| Mistral: Ministral 3 8B 2512mistralai/ministral-8b-2512 | 1068.0 | 262.144K | $0.15 | $0.15 | — | |||
| Qwen: Qwen3 235B A22B Instruct 2507qwen/qwen3-235b-a22b-2507 | 1053.0 | 262.144K | $0.22 | $0.88 | — | |||
| MoonshotAI: Kimi K2 0711moonshotai/kimi-k2 | 1048.0 | 131.072K | $0.57 | $2.3 | — | |||
| Qwen: Qwen3 235B A22B Thinking 2507qwen/qwen3-235b-a22b-thinking-2507 | 1048.0 | 131.072K | $0.23 | $2.3 | — | |||
| OpenAI: GPT-4.1 (batch)openai/gpt-4.1:batch | 1040.0 | 1.04758M | $1 | $4 | — | |||
| GPT-4.1openai/gpt-4.1 | 1040.0 | 1.04758M | $2 | $8 | 2025-04-14 | |||
| o3openai/o3 | 1035.0 | 200K | $2 | $8 | 2025-04-16 | |||
| OpenAI: o3 (batch)openai/o3:batch | 1035.0 | 200K | $1 | $4 | — | |||
| Mistral: Ministral 3 3B 2512mistralai/ministral-3b-2512 | 1025.0 | 131.072K | $0.1 | $0.1 | — | |||
| Inception: Mercury 2inception/mercury-2 | 1025.0 | 128K | $0.25 | $0.75 | — | |||
| Mistral: Codestral 2508mistralai/codestral-2508 | 1022.0 | 256K | $0.3 | $0.9 | — |