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...
Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
Seed 2.1 Turbo is a multimodal model from ByteDance Seed for coding and long-horizon agent workflows. It is suited for end-to-end software delivery, multi-step task execution, and understanding visual and...
Grok 4.6 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM. It is succeeded by [Grok 4.7](/x-ai/grok-4.7).
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is...
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
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 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...
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| OpenAI: GPT-4.1 Nano (batch)openai/gpt-4.1-nano:batch | OpenAI |
1.04758M | $0.05 | $0.2 | — | ||
| OpenAI: o1-pro (batch)openai/o1-pro:batch | OpenAI |
200K | $75 | $300 | — | ||
| OpenAI: o1 (batch)openai/o1:batch | OpenAI |
200K | $7.5 | $30 | — | ||
| OpenAI: GPT-4o-mini (batch)openai/gpt-4o-mini:batch | OpenAI |
128K | $0.075 | $0.3 | — | ||
| OpenAI: GPT-4o (batch)openai/gpt-4o:batch | OpenAI |
128K | $1.25 | $5 | — | ||
| OpenAI: GPT-4 Turbo (batch)openai/gpt-4-turbo:batch | OpenAI |
128K | $5 | $15 | — | ||
| microsoft/UniRG-CXRmicrosoft/UniRG-CXR | Microsoft |
Not documented | — | — | — | ||
| grok-4.20-multi-agent-0309xai/grok-4.20-multi-agent-0309 | xAI |
1M | $1.25 | $2.5 | — | ||
| claude-mythos-previewanthropic/claude-mythos-preview | Anthropic |
1M | $10 | $50 | — | ||
| gemini-robotics-er-2-streaming-previewgemini/gemini-robotics-er-2-streaming-preview | Not documented | $2 | $10 | — | |||
| ByteDance Seed: Seed 2.1 Turbobytedance-seed/seed-2-1-turbo | 262.144K | $0.5 | $2.5 | — | |||
| SpaceXAI: Grok 4.6x-ai/grok-4.6 | xAI |
500K | $2 | $6 | — | ||
| Google: Gemini 3.7 Flash (batch)google/gemini-3.7-flash:batch | Google |
1.04858M | $0.375 | $1.875 | — | ||
| kimi-k2.7-codedashscope/kimi-k2.7-code | 229.376K | $0.95 | $4 | — | |||
| qwen3.8-maxdashscope/qwen3.8-max | 991.808K | $2 | $6 | — | |||
| gemini-3.7-flashvertex_ai/gemini-3.7-flash | 1.04858M | $0.75 | $3.75 | — | |||
| gemini-3.7-flashgemini/gemini-3.7-flash | 1.04858M | $0.75 | $3.75 | — | |||
| gemini-3.7-flashvertex_ai-language-models/gemini-3.7-flash | 1.04858M | $0.75 | $3.75 | — | |||
| qwen/qwen3.6-27bgroq/qwen/qwen3.6-27b | Groq |
131.072K | $0.6 | $3 | — | ||
| Qwen/Qwen3.8-27BQwen/Qwen3.8-27B | Alibaba Qwen |
Not documented | — | — | — | ||
| Qwen: Qwen3.8 27Bqwen/qwen3.8-27b | Alibaba Qwen |
262.144K | $0.2 | $2.5 | — | ||
| Dots Studio: Dots3-Note Preview (free)dots-studio/dots-3-note-preview:free | 512K | Free | Free | — | |||
| FW-Kimi-K2.5azure_ai/fw-kimi-k2.5 | 262.144K | $0.66 | $3.3 | — | |||
| FW-Kimi-K2.6azure_ai/fw-kimi-k2.6 | 262.144K | $1.045 | $4.4 | — | |||
| FW-Kimi-K2.7-Codeazure_ai/fw-kimi-k2.7-code | 262.144K | $1.05 | $4.4 | — | |||
| FW-Kimi-K3azure_ai/fw-kimi-k3 | 1.04858M | $3.3 | $16.5 | — | |||
| FW-MiniMax-M3azure_ai/fw-minimax-m3 | 512K | $0.33 | $1.32 | — | |||
| grok-4.3azure_ai/grok-4.3 | 200K | $1.25 | $2.5 | — | |||
| Meta: Muse Spark 1.2 Contributormeta/muse-spark-1.2-contributor | Meta |
1.04858M | $0.1 | $0.2 | — | ||
| Qwen: Qwen3.8 Flashqwen/qwen3.8-flash | Alibaba Qwen |
1M | $0.15 | $0.47 | — | ||
| Z.ai: GLM 5.3 Flashz-ai/glm-5.3-flash | Z Ai |
1.04858M | $0.15 | $0.5 | — | ||
| Z.ai: GLM 5.3 Flash (batch)z-ai/glm-5.3-flash:batch | Z Ai |
1.04858M | $0.05 | $0.18 | — | ||
| Meta: Muse Glimmer 30B (batch)meta/muse-glimmer-30b:batch | Meta |
131.072K | $0.175 | $0.75 | — | ||
| Thinking Machines: Inkling Small (batch)thinkingmachines/inkling-small:batch | Thinkingmachines |
524.288K | $0.5 | $1.2 | — | ||
| Thinking Machines: Inkling Small (free)thinkingmachines/inkling-small:free | Thinkingmachines |
1.04858M | Free | Free | — | ||
| Thinking Machines: Inkling (free)thinkingmachines/inkling:free | Thinkingmachines |
1.04858M | Free | Free | — | ||
| MoonshotAI: Kimi K3 (batch)moonshotai/kimi-k3:batch | Moonshot AI |
1.04858M | $2.28 | $11.4 | — | ||
| MiniMax: MiniMax M3 (free)minimax/minimax-m3:free | MiniMax |
1.04858M | Free | Free | — | ||
| Mistral: Mistral Medium 3.5 (batch)mistralai/mistral-medium-3-5:batch | Mistral AI |
262.144K | $0.75 | $3.75 | — | ||
| Google: Gemma 4 31B (batch)google/gemma-4-31b-it:batch | Google |
262.144K | $0.39 | $0.97 | — | ||
| Mistral: Mistral Small 4 (batch)mistralai/mistral-small-2603:batch | Mistral AI |
262.144K | $0.075 | $0.3 | — | ||
| Qwen: Qwen3.5-9B (batch)qwen/qwen3.5-9b:batch | Alibaba Qwen |
262.144K | $0.17 | $0.25 | — | ||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | Mistral AI |
262.144K | $0.075 | $0.075 | — | ||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | Mistral AI |
262.144K | $0.25 | $0.75 | — | ||
| Mistral: Mistral Medium 3.1 (batch)mistralai/mistral-medium-3.1:batch | Mistral AI |
131.072K | $0.2 | $1 | — | ||
| Qwen/Qwen3.8-Flash-NextQwen/Qwen3.8-Flash-Next | Alibaba Qwen |
Not documented | — | — | — | ||
| deepseek-ai/DeepSeek-V4-Flash-Vision-Expdeepseek-ai/DeepSeek-V4-Flash-Vision-Exp | DeepSeek |
Not documented | — | — | — | ||
| databricks-claude-opus-4-7databricks/databricks-claude-opus-4-7 | Databricks |
1M | $5 | $25 | — | ||
| databricks-claude-opus-4-8databricks/databricks-claude-opus-4-8 | Databricks |
1M | $5 | $25 | — | ||
| databricks-claude-opus-5databricks/databricks-claude-opus-5 | Databricks |
1M | $5 | $25 | — |