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...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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...
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...
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...
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...
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
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.
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...
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...
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...
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...
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,...
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...
Reasoning model for deliberate analysis, multi-step problem solving, and tool use
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.
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)
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 |
|---|---|---|---|---|---|---|---|---|
| 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 | — | |||
| NVIDIA: Nemotron 3 Ultra (batch)nvidia/nemotron-3-ultra-550b-a55b:batch | 1157.0 | 512.288K | $0.6 | $3.6 | — | |||
| Google: Gemini 2.5 Pro (batch)google/gemini-2.5-pro:batch | 1154.0 | 1.04858M | $0.625 | $5 | — | |||
| NVIDIA: Nemotron 3.5 Super VLnvidia/nemotron-3.5-super-vl | 1153.0 | 262.144K | $0.15 | $0.5 | — | |||
| NVIDIA: Nemotron 3.5 Super VL (free)nvidia/nemotron-3.5-super-vl:free | 1153.0 | 1M | Free | Free | — | |||
| 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 | |||
| 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 | — | |||
| 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 | — | |||
| 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 | — | |||
| Gemini 2.5 Flashgoogle/gemini-2.5-flash | 1104.0 | 1.04858M | $0.3 | $2.5 | 2025-06-17 | |||
| Google: Gemini 2.5 Flash (batch)google/gemini-2.5-flash:batch | 1104.0 | 1.04858M | $0.15 | $1.25 | — | |||
| GPT-5.1 Codex miniopenai/gpt-5.1-codex-mini | 1092.0 | 400K | $0.22 | $1.8 | 2025-11-13 | |||
| GPT-5 Nanoopenai/gpt-5-nano | 1084.0 | 400K | $0.05 | $0.4 | 2025-08-07 | |||
| OpenAI: GPT-5 Nano (batch)openai/gpt-5-nano:batch | 1084.0 | 400K | $0.025 | $0.2 | — | |||
| Gemini 3.1 Flash Lite Previewgoogle/gemini-3.1-flash-lite-preview | 1072.0 | 1.04858M | $0.25 | $1.5 | 2026-03-03 | |||
| Mistral: Mistral Medium 3mistralai/mistral-medium-3 | 1067.0 | 131.072K | $0.4 | $2 | — | |||
| Mistral: Ministral 3 14B 2512mistralai/ministral-14b-2512 | 1063.0 | 262.144K | $0.2 | $0.2 | — | |||
| Mistral: Ministral 3 8B 2512mistralai/ministral-8b-2512 | 1053.0 | 262.144K | $0.15 | $0.15 | — | |||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | 1053.0 | 262.144K | $0.075 | $0.075 | — | |||
| Qwen: Qwen3 235B A22B Instruct 2507qwen/qwen3-235b-a22b-2507 | 1037.0 | 262.144K | $0.09 | $0.55 | — | |||
| Qwen: Qwen3 235B A22B Thinking 2507qwen/qwen3-235b-a22b-thinking-2507 | 1031.0 | 128K | $0.45 | $3.5 | — | |||
| GPT-4.1openai/gpt-4.1 | 1024.0 | 1.04758M | $2 | $8 | 2025-04-14 | |||
| OpenAI: GPT-4.1 (batch)openai/gpt-4.1:batch | 1024.0 | 1.04758M | $1 | $4 | — | |||
| Mercury 2inception/mercury-2 | 1020.0 | 128K | $0.25 | $0.75 | 2026-02-24 | |||
| o3openai/o3 | 1018.0 | 200K | $2 | $8 | 2025-04-16 | |||
| OpenAI: o3 (batch)openai/o3:batch | 1018.0 | 200K | $1 | $4 | — | |||
| Mistral: Ministral 3 3B 2512mistralai/ministral-3b-2512 | 1010.0 | 131.072K | $0.1 | $0.1 | — | |||
| Mistral: Codestral 2508mistralai/codestral-2508 | 1007.0 | 256K | $0.3 | $0.9 | — | |||
| Mistral: Codestral 2508 (batch)mistralai/codestral-2508:batch | 1007.0 | 256K | $0.15 | $0.45 | — |