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...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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...
Google's proven reasoning model for coding, math, and multimodal analysis
Low-latency Gemini model for high-volume multimodal and agent workloads
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...
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.
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 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...
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...
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...
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...
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...
The smallest model in the Ministral 3 family, Ministral 3 3B 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.
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
Open multimodal Gemma instruction model for multilingual text generation and image understanding
Largest open Gemma 3 instruction model for multilingual text generation and visual understanding
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Google: Gemma 4 31B (free)google/gemma-4-31b-it:free | 6.7 | 262.144K | Free | Free | — | |||
| Google: Gemini 2.5 Pro (batch)google/gemini-2.5-pro:batch | 3.5 | 1.04858M | $0.625 | $5 | — | |||
| Gemini 2.5 Progoogle/gemini-2.5-pro | 3.5 | 1.04858M | $1.25 | $10 | 2025-06-17 | |||
| Gemini 3.1 Flash Lite Previewgoogle/gemini-3.1-flash-lite-preview | 3.2 | 1.04858M | $0.25 | $1.5 | 2026-03-03 | |||
| Amazon: Nova 2 Liteamazon/nova-2-lite-v1 | 3.1 | 1M | $0.3 | $2.5 | — | |||
| Mistral: Mistral Medium 3.1mistralai/mistral-medium-3.1 | 3.1 | 131.072K | $0.4 | $2 | — | |||
| Mistral: Mistral Medium 3.1 (batch)mistralai/mistral-medium-3.1:batch | 3.1 | 131.072K | $0.2 | $1 | — | |||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | 2.4 | 262.144K | $0.25 | $0.75 | — | |||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | 2.4 | 262.144K | $0.5 | $1.5 | — | |||
| OpenAI: GPT-4.1 Mini (batch)openai/gpt-4.1-mini:batch | 1.8 | 1.04758M | $0.2 | $0.8 | — | |||
| GPT-4.1 miniopenai/gpt-4.1-mini | 1.8 | 1.04758M | $0.4 | $1.6 | 2025-04-14 | |||
| Mistral: Mistral Small 4 (batch)mistralai/mistral-small-2603:batch | 1.4 | 262.144K | $0.075 | $0.3 | — | |||
| Mistral: Mistral Small 4mistralai/mistral-small-2603 | 1.4 | 262.144K | $0.15 | $0.6 | — | |||
| GPT-4.1 nanoopenai/gpt-4.1-nano | 1.2 | 1.04758M | $0.1 | $0.4 | 2025-04-14 | |||
| OpenAI: GPT-4.1 Nano (batch)openai/gpt-4.1-nano:batch | 1.2 | 1.04758M | $0.05 | $0.2 | — | |||
| Mistral: Ministral 3 14B 2512mistralai/ministral-14b-2512 | 1.1 | 262.144K | $0.2 | $0.2 | — | |||
| GPT-4o miniopenai/gpt-4o-mini | 1.0 | 128K | $0.15 | $0.6 | 2024-07-18 | |||
| OpenAI: GPT-4o-mini (batch)openai/gpt-4o-mini:batch | 1.0 | 128K | $0.075 | $0.3 | — | |||
| Mistral: Ministral 3 3B 2512mistralai/ministral-3b-2512 | 0.8 | 131.072K | $0.1 | $0.1 | — | |||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | 0.6 | 262.144K | $0.075 | $0.075 | — | |||
| Meta: Llama 4 Maverickmeta-llama/llama-4-maverick | 0.6 | 128K | $0.2 | $0.696 | — | |||
| Mistral: Ministral 3 8B 2512mistralai/ministral-8b-2512 | 0.6 | 262.144K | $0.15 | $0.15 | — | |||
| Meta: Llama 4 Scoutmeta-llama/llama-4-scout | 0.5 | 327.68K | $0.1 | $0.3 | — | |||
| Gemma 3 12B ITgoogle/gemma-3-12b-it | 0.1 | 131.072K | $0.05 | $0.1 | 2025-03-12 | |||
| Gemma 3 27B ITgoogle/gemma-3-27b-it | 0.1 | 131.072K | $0.08 | $0.16 | 2025-03-12 |