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...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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 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%),...
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...
Newer StepFun flash model for faster agents, coding, and multimodal prompts
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...
Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...
Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...
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...
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...
Agent-ready GPT for coding and computer-use workflows at a lower cost
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...
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.
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,...
DeepSeek chat model for instruction following, coding, and 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...
Reasoning-optimized 398B MoE agent model with extended thinking for long-horizon and multi-turn tool use
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...
Google's proven reasoning model for coding, math, and multimodal analysis
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...
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...
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...
Fast Gemini workhorse for multimodal apps where latency and price matter
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...
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...
Low-latency Gemini model for high-volume multimodal and agent workloads
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....
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.
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)
Coding-optimized GPT model for repository edits, reviews, and agentic software work
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,...
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...
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...
Tiny GPT-4.1 option for classification, routing, and very high-volume tasks
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
Fast o-series model for compact reasoning, coding, and tool use
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...
Long-lived GPT workhorse for coding, instruction following, and production apps
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Anthropic: Claude Opus 4.1anthropic/claude-opus-4.1 | 1150.0 | 200K | $15 | $75 | — | |||
| Anthropic: Claude Opus 4.1 (batch)anthropic/claude-opus-4.1:batch | 1150.0 | 200K | $7.5 | $37.5 | — | |||
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 1140.0 | 200K | $3 | $15 | — | |||
| Nemotron 3 Ultra 550B A55Bnvidia/nemotron-3-ultra-550b-a55b | 1128.0 | 1M | $0.1 | $0.1 | 2026-06-04 | |||
| NVIDIA: Nemotron 3 Ultra (free)nvidia/nemotron-3-ultra-550b-a55b:free | 1128.0 | 1M | Free | Free | — | |||
| Step 3.7 Flashstepfun/step-3.7-flash | 1127.0 | 256K | $0.202 | $1.211 | 2026-05-29 | |||
| Z.ai: GLM 4.6z-ai/glm-4.6 | 1126.0 | 204.8K | $0.55 | $2.2 | — | |||
| SpaceXAI: Grok 4.3x-ai/grok-4.3 | 1122.0 | 1M | $1.25 | $2.5 | — | |||
| SpaceXAI: Grok 4.3 (batch)x-ai/grok-4.3:batch | 1122.0 | 1M | $1 | $2 | — | |||
| NVIDIA: Nemotron 3.5 Super VLnvidia/nemotron-3.5-super-vl | 1117.0 | 262.144K | $0.15 | $0.5 | — | |||
| NVIDIA: Nemotron 3.5 Super VL (free)nvidia/nemotron-3.5-super-vl:free | 1117.0 | 1M | Free | Free | — | |||
| Qwen: Qwen3.5 Plus 2026-02-15qwen/qwen3.5-plus-02-15 | 1116.0 | 1M | $0.26 | $1.56 | — | |||
| GPT-5.4openai/gpt-5.4 | 1099.0 | 1.05M | $2.5 | $15 | 2026-03-05 | |||
| OpenAI: GPT-5.4 (batch)openai/gpt-5.4:batch | 1099.0 | 1.05M | $1.25 | $7.5 | — | |||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | 1096.0 | 262.144K | $0.5 | $1.5 | — | |||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | 1096.0 | 262.144K | $0.25 | $0.75 | — | |||
| MiniMax: MiniMax M2minimax/minimax-m2 | 1095.0 | 204.8K | $0.255 | $1.02 | — | |||
| DeepSeek Chatdeepseek/deepseek-chat | 1084.0 | 1M | $0.15 | $0.6 | 2025-12-01 | |||
| Google: Gemini 2.5 Pro (batch)google/gemini-2.5-pro:batch | 1081.0 | 1.04858M | $0.625 | $5 | — | |||
| Trinity Large Thinkingarcee-ai/trinity-large-thinking | 1079.0 | 524.288K | $0.25 | $0.8 | 2026-04-01 | |||
| Qwen: Qwen3 Maxqwen/qwen3-max | 1079.0 | 262.144K | $0.78 | $3.9 | — | |||
| Gemini 2.5 Progoogle/gemini-2.5-pro | 1078.0 | 1.04858M | $1.25 | $10 | 2025-06-17 | |||
| GPT-5.2openai/gpt-5.2 | 1076.0 | 400K | $1.75 | $14 | 2025-12-11 | |||
| OpenAI: GPT-5.2 (batch)openai/gpt-5.2:batch | 1076.0 | 400K | $0.875 | $7 | — | |||
| Google: Gemini 2.5 Flash (batch)google/gemini-2.5-flash:batch | 1071.0 | 1.04858M | $0.15 | $1.25 | — | |||
| Anthropic: Claude Haiku 4.5anthropic/claude-haiku-4.5 | 1069.0 | 200K | $1 | $5 | — | |||
| Anthropic: Claude Haiku 4.5 (batch)anthropic/claude-haiku-4.5:batch | 1069.0 | 200K | $0.5 | $2.5 | — | |||
| Gemini 2.5 Flashgoogle/gemini-2.5-flash | 1068.0 | 1.04858M | $0.3 | $2.5 | 2025-06-17 | |||
| GPT-5.1openai/gpt-5.1 | 1058.0 | 400K | $1.25 | $10 | 2025-11-13 | |||
| OpenAI: GPT-5.1 (batch)openai/gpt-5.1:batch | 1058.0 | 400K | $0.625 | $5 | — | |||
| GPT-5openai/gpt-5 | 1053.0 | 400K | $1.25 | $10 | 2025-08-07 | |||
| OpenAI: GPT-5 (batch)openai/gpt-5:batch | 1053.0 | 400K | $0.625 | $5 | — | |||
| Gemini 3.1 Flash Lite Previewgoogle/gemini-3.1-flash-lite-preview | 1045.0 | 1.04858M | $0.25 | $1.5 | 2026-03-03 | |||
| GPT-5 Miniopenai/gpt-5-mini | 1034.0 | 400K | $0.25 | $2 | 2025-08-07 | |||
| OpenAI: GPT-5 Mini (batch)openai/gpt-5-mini:batch | 1034.0 | 400K | $0.125 | $1 | — | |||
| Mistral: Ministral 3 8B 2512mistralai/ministral-8b-2512 | 1029.0 | 262.144K | $0.15 | $0.15 | — | |||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | 1029.0 | 262.144K | $0.075 | $0.075 | — | |||
| Mistral: Codestral 2508mistralai/codestral-2508 | 1017.0 | 256K | $0.3 | $0.9 | — | |||
| Mistral: Codestral 2508 (batch)mistralai/codestral-2508:batch | 1017.0 | 256K | $0.15 | $0.45 | — | |||
| GPT-5.3 Codexopenai/gpt-5.3-codex | 1005.0 | 400K | $1.75 | $14 | 2026-02-05 | |||
| Qwen: Qwen3 235B A22B Instruct 2507qwen/qwen3-235b-a22b-2507 | 991.0 | 262.144K | $0.09 | $0.55 | — | |||
| Mistral: Ministral 3 14B 2512mistralai/ministral-14b-2512 | 987.0 | 262.144K | $0.2 | $0.2 | — | |||
| GPT-5.1 Codex miniopenai/gpt-5.1-codex-mini | 985.0 | 400K | $0.22 | $1.8 | 2025-11-13 | |||
| GPT-5 Nanoopenai/gpt-5-nano | 963.0 | 400K | $0.05 | $0.4 | 2025-08-07 | |||
| OpenAI: GPT-5 Nano (batch)openai/gpt-5-nano:batch | 963.0 | 400K | $0.025 | $0.2 | — | |||
| GPT-4.1 nanoopenai/gpt-4.1-nano | 922.0 | 1.04758M | $0.1 | $0.4 | 2025-04-14 | |||
| OpenAI: GPT-4.1 Nano (batch)openai/gpt-4.1-nano:batch | 922.0 | 1.04758M | $0.05 | $0.2 | — | |||
| o4-miniopenai/o4-mini | 851.0 | 200K | $1.1 | $4.4 | 2025-04-16 | |||
| OpenAI: o4 Mini (batch)openai/o4-mini:batch | 851.0 | 200K | $0.55 | $2.2 | — | |||
| GPT-4.1openai/gpt-4.1 | 847.0 | 1.04758M | $2 | $8 | 2025-04-14 |