Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
Upstage's flagship model, specialized for agentic use
Newer StepFun flash model for faster agents, coding, and multimodal prompts
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...
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
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...
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...
Tencent Hy reasoning model for coding, instruction following, and agent tasks
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...
Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...
Sharper GPT-5 generation for coding, product work, and tool-assisted tasks
GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...
Reliable GPT generation for broad coding, writing, and tool-assisted product work
GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...
Original GPT-5 workhorse for reasoning, coding, writing, and tool workflows
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...
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...
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...
Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use
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...
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
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...
Google's proven reasoning model for coding, math, and multimodal analysis
Codex GPT for repository edits, code review, and practical software agents
Upstage's compact, cost-efficient model for agentic use
Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy
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%),...
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.
May 2025 DeepSeek R1 update with improved mathematics, coding, and reasoning
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
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...
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...
Small GPT-5 for responsive agents, coding help, and everyday automation
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....
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
DeepSeek chat model for instruction following, coding, and analysis
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5 | 1182.0 | 1M | $3 | $15 | — | |||
| Anthropic: Claude Sonnet 4.5 (batch)anthropic/claude-sonnet-4.5:batch | 1182.0 | 1M | $1.5 | $7.5 | — | |||
| Solar Pro 4upstage/solar-pro4 | 1182.0 | 524.288K | $0.3 | $1.2 | 2026-08-06 | |||
| Step 3.7 Flashstepfun/step-3.7-flash | 1181.0 | 256K | $0.202 | $1.211 | 2026-05-29 | |||
| Qwen: Qwen3 Coder 480B A35B (free)qwen/qwen3-coder:free | 1180.0 | 262K | Free | Free | — | |||
| Qwen: Qwen3.5 397B A17Bqwen/qwen3.5-397b-a17b | 1178.0 | 262.144K | $0.5 | $3.6 | — | |||
| Z.ai: GLM 4.7 Flashz-ai/glm-4.7-flash | 1176.0 | 131.072K | $0.061 | $0.4 | — | |||
| Anthropic: Claude Opus 4anthropic/claude-opus-4 | 1175.0 | 200K | $15 | $75 | — | |||
| DeepSeek: DeepSeek V3.1 Terminusdeepseek/deepseek-v3.1-terminus | 1175.0 | 163.84K | $0.27 | $1 | — | |||
| Hy3tencent/hy3 | 1175.0 | 256K | $0.066 | $0.26 | 2026-07-06 | |||
| DeepSeek: DeepSeek V3.2 Expdeepseek/deepseek-v3.2-exp | 1170.0 | 163.84K | $0.27 | $0.41 | — | |||
| Anthropic: Claude Opus 4.1anthropic/claude-opus-4.1 | 1169.0 | 200K | $15 | $75 | — | |||
| Anthropic: Claude Opus 4.1 (batch)anthropic/claude-opus-4.1:batch | 1169.0 | 200K | $7.5 | $37.5 | — | |||
| GPT-5.1openai/gpt-5.1 | 1169.0 | 400K | $1.25 | $10 | 2025-11-13 | |||
| OpenAI: GPT-5.1 (batch)openai/gpt-5.1:batch | 1169.0 | 400K | $0.625 | $5 | — | |||
| GPT-5.2openai/gpt-5.2 | 1168.0 | 400K | $1.75 | $14 | 2025-12-11 | |||
| OpenAI: GPT-5.2 (batch)openai/gpt-5.2:batch | 1168.0 | 400K | $0.875 | $7 | — | |||
| GPT-5openai/gpt-5 | 1166.0 | 400K | $1.25 | $10 | 2025-08-07 | |||
| OpenAI: GPT-5 (batch)openai/gpt-5:batch | 1166.0 | 400K | $0.625 | $5 | — | |||
| Qwen: Qwen3.5 Plus 2026-02-15qwen/qwen3.5-plus-02-15 | 1165.0 | 1M | $0.26 | $1.56 | — | |||
| Z.ai: GLM 4.5z-ai/glm-4.5 | 1165.0 | 131.072K | $0.6 | $2.2 | — | |||
| Z.ai: GLM 4.6z-ai/glm-4.6 | 1164.0 | 204.8K | $0.55 | $2.2 | — | |||
| DeepSeek V3.2deepseek/deepseek-v3.2 | 1162.0 | 128K | $0.209 | $0.31 | 2025-12-01 | |||
| NVIDIA: Nemotron 3 Ultra (batch)nvidia/nemotron-3-ultra-550b-a55b:batch | 1157.0 | 512.288K | $0.6 | $3.6 | — | |||
| NVIDIA: Nemotron 3.5 Super VLnvidia/nemotron-3.5-super-vl | 1155.0 | 262.144K | $0.15 | $0.5 | — | |||
| NVIDIA: Nemotron 3.5 Super VL (free)nvidia/nemotron-3.5-super-vl:free | 1155.0 | 1M | Free | Free | — | |||
| Google: Gemini 2.5 Pro (batch)google/gemini-2.5-pro:batch | 1154.0 | 1.04858M | $0.625 | $5 | — | |||
| Gemini 2.5 Progoogle/gemini-2.5-pro | 1152.0 | 1.04858M | $1.25 | $10 | 2025-06-17 | |||
| GPT-5.1 Codexopenai/gpt-5.1-codex | 1151.0 | 400K | $1.07 | $8.5 | 2025-11-13 | |||
| Solar Mini 4upstage/solar-mini4 | 1146.0 | 524.288K | $0.1 | $0.4 | 2026-09-22 | |||
| Nemotron 3 Ultra 550B A55Bnvidia/nemotron-3-ultra-550b-a55b | 1145.0 | 1M | $0.1 | $0.1 | 2026-06-04 | |||
| NVIDIA: Nemotron 3 Ultra (free)nvidia/nemotron-3-ultra-550b-a55b:free | 1145.0 | 1M | Free | Free | — | |||
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 1143.0 | 200K | $3 | $15 | — | |||
| GPT-5.3 Codexopenai/gpt-5.3-codex | 1143.0 | 400K | $1.75 | $14 | 2026-02-05 | |||
| Qwen: Qwen3 Coder 480B A35Bqwen/qwen3-coder | 1141.0 | 262.144K | $0.3 | $1 | — | |||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | 1140.0 | 262.144K | $0.5 | $1.5 | — | |||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | 1140.0 | 262.144K | $0.25 | $0.75 | — | |||
| DeepSeek R1 0528deepseek/deepseek-r1-0528 | 1137.0 | 163.84K | $0.2 | $0.8 | 2025-05-28 | |||
| Z.ai: GLM 4.5 Airz-ai/glm-4.5-air | 1137.0 | 131.072K | $0.13 | $0.85 | — | |||
| MiniMax: MiniMax M2minimax/minimax-m2 | 1135.0 | 204.8K | $0.255 | $1.02 | — | |||
| Mistral: Mistral Medium 3.1mistralai/mistral-medium-3.1 | 1120.0 | 131.072K | $0.4 | $2 | — | |||
| Mistral: Mistral Medium 3.1 (batch)mistralai/mistral-medium-3.1:batch | 1120.0 | 131.072K | $0.2 | $1 | — | |||
| Trinity Large Thinkingarcee-ai/trinity-large-thinking | 1117.0 | 524.288K | $0.25 | $0.8 | 2026-04-01 | |||
| Anthropic: Claude Haiku 4.5anthropic/claude-haiku-4.5 | 1113.0 | 200K | $1 | $5 | — | |||
| Anthropic: Claude Haiku 4.5 (batch)anthropic/claude-haiku-4.5:batch | 1113.0 | 200K | $0.5 | $2.5 | — | |||
| GPT-5 Miniopenai/gpt-5-mini | 1113.0 | 400K | $0.25 | $2 | 2025-08-07 | |||
| OpenAI: GPT-5 Mini (batch)openai/gpt-5-mini:batch | 1113.0 | 400K | $0.125 | $1 | — | |||
| Qwen: Qwen3 Maxqwen/qwen3-max | 1113.0 | 262.144K | $0.78 | $3.9 | — | |||
| DeepSeek V3.1deepseek/deepseek-chat-v3.1 | 1110.0 | 163.84K | $0.19 | $0.79 | 2025-08-21 | |||
| DeepSeek Chatdeepseek/deepseek-chat | 1108.0 | 1M | $0.15 | $0.6 | 2025-12-01 |