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...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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 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...
Upstage's flagship model, specialized for agentic use
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...
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...
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...
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...
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
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.
Coding-optimized GPT model for repository edits, reviews, and agentic software work
Codex GPT for repository edits, code review, and practical software agents
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...
Upstage's compact, cost-efficient model for agentic use
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...
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...
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...
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...
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...
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...
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...
Fast Gemini workhorse for multimodal apps where latency and price matter
Coding-optimized GPT model for repository edits, reviews, and agentic software work
Tiny GPT-5 lane for routing, extraction, classification, and bulk jobs
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...
Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the...
Low-latency Gemini model for high-volume multimodal and agent workloads
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...
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...
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,...
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...
Long-lived GPT workhorse for coding, instruction following, and production apps
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...
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....
Reasoning model for deliberate analysis, multi-step problem solving, and tool use
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...
The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| OpenAI: GPT-5 (batch)openai/gpt-5:batch | 1184.0 | 400K | $0.625 | $5 | — | |||
| DeepSeek: DeepSeek V3.2 Expdeepseek/deepseek-v3.2-exp | 1177.0 | 163.84K | $0.27 | $0.41 | — | |||
| Anthropic: Claude Opus 4anthropic/claude-opus-4 | 1176.0 | 200K | $15 | $75 | — | |||
| Solar Pro 4upstage/solar-pro4 | 1176.0 | 524.288K | $0.3 | $1.2 | 2026-08-06 | |||
| Anthropic: Claude Opus 4.1anthropic/claude-opus-4.1 | 1175.0 | 200K | $15 | $75 | — | |||
| Anthropic: Claude Opus 4.1 (batch)anthropic/claude-opus-4.1:batch | 1175.0 | 200K | $7.5 | $37.5 | — | |||
| Z.ai: GLM 4.6z-ai/glm-4.6 | 1174.0 | 204.8K | $0.55 | $2.2 | — | |||
| NVIDIA: Nemotron 3.5 Super VLnvidia/nemotron-3.5-super-vl | 1171.0 | 262.144K | $0.15 | $0.5 | — | |||
| NVIDIA: Nemotron 3.5 Super VL (free)nvidia/nemotron-3.5-super-vl:free | 1171.0 | 1M | Free | Free | — | |||
| Z.ai: GLM 4.5z-ai/glm-4.5 | 1168.0 | 131.072K | $0.6 | $2.2 | — | |||
| Google: Gemini 2.5 Pro (batch)google/gemini-2.5-pro:batch | 1167.0 | 1.04858M | $0.625 | $5 | — | |||
| Gemini 2.5 Progoogle/gemini-2.5-pro | 1165.0 | 1.04858M | $1.25 | $10 | 2025-06-17 | |||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | 1162.0 | 262.144K | $0.5 | $1.5 | — | |||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | 1162.0 | 262.144K | $0.25 | $0.75 | — | |||
| GPT-5.3 Codexopenai/gpt-5.3-codex | 1161.0 | 400K | $1.75 | $14 | 2026-02-05 | |||
| GPT-5.1 Codexopenai/gpt-5.1-codex | 1160.0 | 400K | $1.07 | $8.5 | 2025-11-13 | |||
| Qwen: Qwen3 Coder 480B A35Bqwen/qwen3-coder | 1157.0 | 262.144K | $0.3 | $1 | — | |||
| Solar Mini 4upstage/solar-mini4 | 1154.0 | 524.288K | $0.1 | $0.4 | 2026-09-22 | |||
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 1147.0 | 200K | $3 | $15 | — | |||
| NVIDIA: Nemotron 3 Ultra (batch)nvidia/nemotron-3-ultra-550b-a55b:batch | 1145.0 | 512.288K | $0.6 | $3.6 | — | |||
| Z.ai: GLM 4.5 Airz-ai/glm-4.5-air | 1145.0 | 131.072K | $0.13 | $0.85 | — | |||
| NVIDIA: Nemotron 3 Ultra (free)nvidia/nemotron-3-ultra-550b-a55b:free | 1144.0 | 1M | Free | Free | — | |||
| MiniMax: MiniMax M2minimax/minimax-m2 | 1141.0 | 204.8K | $0.255 | $1.02 | — | |||
| Mistral: Mistral Medium 3.1mistralai/mistral-medium-3.1 | 1131.0 | 131.072K | $0.4 | $2 | — | |||
| Mistral: Mistral Medium 3.1 (batch)mistralai/mistral-medium-3.1:batch | 1131.0 | 131.072K | $0.2 | $1 | — | |||
| GPT-5 Miniopenai/gpt-5-mini | 1125.0 | 400K | $0.25 | $2 | 2025-08-07 | |||
| OpenAI: GPT-5 Mini (batch)openai/gpt-5-mini:batch | 1125.0 | 400K | $0.125 | $1 | — | |||
| Qwen: Qwen3 Maxqwen/qwen3-max | 1123.0 | 262.144K | $0.78 | $3.9 | — | |||
| Anthropic: Claude Haiku 4.5anthropic/claude-haiku-4.5 | 1122.0 | 200K | $1 | $5 | — | |||
| Anthropic: Claude Haiku 4.5 (batch)anthropic/claude-haiku-4.5:batch | 1122.0 | 200K | $0.5 | $2.5 | — | |||
| Google: Gemini 2.5 Flash (batch)google/gemini-2.5-flash:batch | 1115.0 | 1.04858M | $0.15 | $1.25 | — | |||
| Gemini 2.5 Flashgoogle/gemini-2.5-flash | 1113.0 | 1.04858M | $0.3 | $2.5 | 2025-06-17 | |||
| GPT-5.1 Codex miniopenai/gpt-5.1-codex-mini | 1109.0 | 400K | $0.22 | $1.8 | 2025-11-13 | |||
| GPT-5 Nanoopenai/gpt-5-nano | 1101.0 | 400K | $0.05 | $0.4 | 2025-08-07 | |||
| OpenAI: GPT-5 Nano (batch)openai/gpt-5-nano:batch | 1101.0 | 400K | $0.025 | $0.2 | — | |||
| Qwen: Qwen3 Coder 30B A3B Instructqwen/qwen3-coder-30b-a3b-instruct | 1087.0 | 262.144K | $0.07 | $0.28 | — | |||
| Gemini 3.1 Flash Lite Previewgoogle/gemini-3.1-flash-lite-preview | 1081.0 | 1.04858M | $0.25 | $1.5 | 2026-03-03 | |||
| Mistral: Ministral 3 14B 2512mistralai/ministral-14b-2512 | 1081.0 | 262.144K | $0.2 | $0.2 | — | |||
| Mistral: Mistral Medium 3mistralai/mistral-medium-3 | 1077.0 | 131.072K | $0.4 | $2 | — | |||
| Mistral: Ministral 3 8B 2512mistralai/ministral-8b-2512 | 1063.0 | 262.144K | $0.15 | $0.15 | — | |||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | 1063.0 | 262.144K | $0.075 | $0.075 | — | |||
| Qwen: Qwen3 235B A22B Instruct 2507qwen/qwen3-235b-a22b-2507 | 1056.0 | 262.144K | $0.09 | $0.55 | — | |||
| Qwen: Qwen3 235B A22B Thinking 2507qwen/qwen3-235b-a22b-thinking-2507 | 1051.0 | 128K | $0.45 | $3.5 | — | |||
| GPT-4.1openai/gpt-4.1 | 1037.0 | 1.04758M | $2 | $8 | 2025-04-14 | |||
| OpenAI: GPT-4.1 (batch)openai/gpt-4.1:batch | 1037.0 | 1.04758M | $1 | $4 | — | |||
| o3openai/o3 | 1036.0 | 200K | $2 | $8 | 2025-04-16 | |||
| OpenAI: o3 (batch)openai/o3:batch | 1036.0 | 200K | $1 | $4 | — | |||
| Mercury 2inception/mercury-2 | 1035.0 | 128K | $0.25 | $0.75 | 2026-02-24 | |||
| Qwen: Qwen3 235B A22Bqwen/qwen3-235b-a22b | 1035.0 | 131.072K | $0.455 | $1.82 | — | |||
| Mistral: Ministral 3 3B 2512mistralai/ministral-3b-2512 | 1026.0 | 131.072K | $0.1 | $0.1 | — |