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...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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...
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...
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...
O-series reasoning model for hard analysis, math, coding, and planning
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...
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%),...
Low-latency Gemini model for high-volume multimodal and agent workloads
Google's proven reasoning model for coding, math, and multimodal 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...
Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...
Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing...
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...
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...
Affordable GPT-4.1 lane for fast coding help and structured extraction
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.
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-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...
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....
Small omni GPT for cheap multimodal assistance and production-scale traffic
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...
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 | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Anthropic: Claude Haiku 4.5anthropic/claude-haiku-4.5 | 43.9 | 200K | $1 | $5 | — | |||
| Anthropic: Claude Haiku 4.5 (batch)anthropic/claude-haiku-4.5:batch | 43.9 | 200K | $0.5 | $2.5 | — | |||
| SpaceXAI: Grok 4.3 (batch)x-ai/grok-4.3:batch | 42.2 | 1M | $1 | $2 | — | |||
| SpaceXAI: Grok 4.3x-ai/grok-4.3 | 42.2 | 1M | $1.25 | $2.5 | — | |||
| OpenAI: o1 (batch)openai/o1:batch | 39.7 | 200K | $7.5 | $30 | — | |||
| o1openai/o1 | 39.7 | 200K | $15 | $60 | 2024-12-05 | |||
| OpenAI: GPT-5 (batch)openai/gpt-5:batch | 37.8 | 400K | $0.625 | $5 | — | |||
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 37.6 | 200K | $3 | $15 | — | |||
| Gemini 3.1 Flash Lite Previewgoogle/gemini-3.1-flash-lite-preview | 34.7 | 1.04858M | $0.25 | $1.5 | 2026-03-03 | |||
| Gemini 2.5 Progoogle/gemini-2.5-pro | 33.3 | 1.04858M | $1.25 | $10 | 2025-06-17 | |||
| Google: Gemini 2.5 Pro (batch)google/gemini-2.5-pro:batch | 33.3 | 1.04858M | $0.625 | $5 | — | |||
| Mistral: Devstral 2 2512mistralai/devstral-2512 | 31.3 | 262.144K | $0.4 | $2 | — | |||
| Amazon: Nova 2 Liteamazon/nova-2-lite-v1 | 23.0 | 1M | $0.3 | $2.5 | — | |||
| Mistral: Mistral Medium 3.1 (batch)mistralai/mistral-medium-3.1:batch | 20.5 | 131.072K | $0.2 | $1 | — | |||
| Mistral: Mistral Medium 3.1mistralai/mistral-medium-3.1 | 20.5 | 131.072K | $0.4 | $2 | — | |||
| OpenAI: GPT-4.1 Mini (batch)openai/gpt-4.1-mini:batch | 20.2 | 1.04758M | $0.2 | $0.8 | — | |||
| GPT-4.1 miniopenai/gpt-4.1-mini | 20.2 | 1.04758M | $0.4 | $1.6 | 2025-04-14 | |||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | 20.1 | 262.144K | $0.5 | $1.5 | — | |||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | 20.1 | 262.144K | $0.25 | $0.75 | — | |||
| OpenAI: o3 Mini High (batch)openai/o3-mini-high:batch | 16.3 | 200K | $0.55 | $2.2 | — | |||
| OpenAI: o3 Mini Highopenai/o3-mini-high | 16.3 | 200K | $1.1 | $4.4 | — | |||
| OpenAI: GPT-5 Mini (batch)openai/gpt-5-mini:batch | 15.6 | 400K | $0.125 | $1 | — | |||
| GPT-4o miniopenai/gpt-4o-mini | 11.4 | 128K | $0.15 | $0.6 | 2024-07-18 | |||
| OpenAI: GPT-4o-mini (batch)openai/gpt-4o-mini:batch | 11.4 | 128K | $0.075 | $0.3 | — | |||
| OpenAI: GPT-4.1 Nano (batch)openai/gpt-4.1-nano:batch | 11.1 | 1.04758M | $0.05 | $0.2 | — |