The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...
Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...
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....
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...
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...
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...
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...
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...
OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...
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.
Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total. It is designed for responsive agents, instruction following, and multi-turn conversations, with switchable...
NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
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...
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
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.
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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.
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| OpenAI: o3 Pro (batch)openai/o3-pro:batch | OpenAI |
200K | $10 | $40 | — | ||
| OpenAI: o4 Mini High (batch)openai/o4-mini-high:batch | OpenAI |
200K | $0.55 | $2.2 | — | ||
| OpenAI: o3 (batch)openai/o3:batch | OpenAI |
200K | $1 | $4 | — | ||
| OpenAI: o4 Mini (batch)openai/o4-mini:batch | OpenAI |
200K | $0.55 | $2.2 | — | ||
| OpenAI: GPT-4.1 (batch)openai/gpt-4.1:batch | OpenAI |
1.04758M | $1 | $4 | — | ||
| OpenAI: GPT-4.1 Mini (batch)openai/gpt-4.1-mini:batch | OpenAI |
1.04758M | $0.2 | $0.8 | — | ||
| 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: o3 Mini High (batch)openai/o3-mini-high:batch | OpenAI |
200K | $0.55 | $2.2 | — | ||
| OpenAI: o3 Mini (batch)openai/o3-mini:batch | OpenAI |
200K | $0.55 | $2.2 | — | ||
| 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 | — | ||
| inclusionAI: Ling 3.0 Tiny (free)inclusionai/ling-3.0-tiny:free | 262.144K | Free | Free | — | |||
| NVIDIA: Nemotron 3.5 Lightning (free)nvidia/nemotron-3.5-lightning:free | NVIDIA |
1M | Free | Free | — | ||
| LiquidAI: LFM2.5-2.6B (free)liquid/lfm-2.5-2.6b:free | 65.536K | Free | Free | — | |||
| 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 | — | ||
| labs-leanstral-1-5mistral/labs-leanstral-1-5 | Mistral |
262.144K | — | — | — | ||
| ByteDance Seed: Seed 2.1 Turbobytedance-seed/seed-2-1-turbo | 262.144K | $0.5 | $2.5 | — | |||
| Qwen: Qwen3.8 2.4T A95Bqwen/qwen3.8-2.4t-a95b | Alibaba Qwen |
1.01M | $2 | $6 | — | ||
| 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 | — | ||
| deepseek-v4-flashdashscope/deepseek-v4-flash | 1M | $0.2 | $0.4 | — | |||
| deepseek-v4-flash-0731dashscope/deepseek-v4-flash-0731 | 1M | $0.2 | $0.4 | — | |||
| deepseek-v4-prodashscope/deepseek-v4-pro | 1M | $2.4 | $4.8 | — | |||
| glm-5.1dashscope/glm-5.1 | 202.745K | $1.4 | $4.4 | — | |||
| glm-5.2dashscope/glm-5.2 | 1.04858M | $1.4 | $4.4 | — | |||
| kimi-k2.7-codedashscope/kimi-k2.7-code | 229.376K | $0.95 | $4 | — | |||
| qwen3.8-maxdashscope/qwen3.8-max | 991.808K | $2 | $6 | — | |||
| nvidia/NVIDIA-Nemotron-3.5-Lightningdeepinfra/nvidia/nvidia-nemotron-3.5-lightning | Deepinfra |
262.144K | $0.05 | $0.2 | — | ||
| 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 | — | ||
| nvidia/nemotron-3.5-lightningopenrouter/nvidia/nemotron-3.5-lightning | Openrouter |
262.144K | $0.05 | $0.2 | — | ||
| 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-DeepSeek-V3.2azure_ai/fw-deepseek-v3.2 | 163.84K | $0.62 | $1.85 | — | |||
| FW-DeepSeek-V4-Proazure_ai/fw-deepseek-v4-pro | 1M | $1.925 | $3.828 | — | |||
| FW-GLM-5azure_ai/fw-glm-5 | 200K | $1.1 | $3.52 | — | |||
| FW-GLM-5.1azure_ai/fw-glm-5.1 | 202.8K | $1.54 | $4.84 | — | |||
| FW-GLM-5.2azure_ai/fw-glm-5.2 | 1.04858M | $1.54 | $4.84 | — | |||
| FW-GLM-5.2-Fastazure_ai/fw-glm-5.2-fast | 1.04858M | $2.1 | $6.6 | — | |||
| FW-Inklingazure_ai/fw-inkling | 1.04858M | $1 | $4.05 | — | |||
| 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 | — |