GPT model for general reasoning, writing, coding, and tool-assisted tasks
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...
Flagship model for demanding analysis, coding, and production agent workflows
Compact GPT model for low-latency assistance and high-volume workloads
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.
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...
Efficient model for low-latency assistance, extraction, and routine automation
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
GPT model for general reasoning, writing, coding, and tool-assisted tasks
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...
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...
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...
Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...
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...
Efficient model for low-latency assistance, extraction, and routine automation
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...
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.
Compact GPT model for low-latency assistance and high-volume workloads
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| GPT-4o (2024-05-13)openai/gpt-4o-2024-05-13 | 7.3 | 128K | $5 | $15 | 2024-05-13 | |||
| Qwen: Qwen3 32Bqwen/qwen3-32b | 7.3 | 40.96K | $0.08 | $0.28 | — | |||
| Qwen: Qwen3 8Bqwen/qwen3-8b | 7.3 | 131.072K | $0.117 | $0.455 | — | |||
| Qwen: Qwen3 VL 8B Instructqwen/qwen3-vl-8b-instruct | 7.3 | 262.144K | $0.25 | $0.75 | — | |||
| Nova Pro 1.0amazon/nova-pro-v1 | 7.0 | 300K | $0.799 | $3.196 | 2024-12-05 | |||
| GPT-4 Turboopenai/gpt-4-turbo | 7.0 | 128K | $10 | $30 | 2023-11-06 | |||
| OpenAI: GPT-4 Turbo (batch)openai/gpt-4-turbo:batch | 7.0 | 128K | $5 | $15 | — | |||
| Meta: Llama 3.1 8B Instructmeta-llama/llama-3.1-8b-instruct | 6.9 | 131.072K | $0.05 | $0.08 | — | |||
| Nova Lite 1.0amazon/nova-lite-v1 | 6.7 | 300K | $0.059 | $0.238 | 2024-12-05 | |||
| Mistral: Mistral Small 3mistralai/mistral-small-24b-instruct-2501 | 6.7 | 32.768K | $0.05 | $0.08 | — | |||
| GPT-4openai/gpt-4 | 6.7 | 8.192K | $30 | $60 | 2023-11-06 | |||
| GPT-4o miniopenai/gpt-4o-mini | 6.7 | 128K | $0.15 | $0.6 | 2024-07-18 | |||
| OpenAI: GPT-4o-mini (batch)openai/gpt-4o-mini:batch | 6.7 | 128K | $0.075 | $0.3 | — | |||
| Qwen2.5 Coder 32B Instructqwen/qwen-2.5-coder-32b-instruct | 6.7 | 32.768K | $0.66 | $1 | — | |||
| Qwen: Qwen3 14Bqwen/qwen3-14b | 6.7 | 40.96K | $0.12 | $0.24 | — | |||
| Meta: Llama 3.1 70B Instructmeta-llama/llama-3.1-70b-instruct | 6.6 | 131.072K | $0.4 | $0.4 | — | |||
| Meta: Llama 4 Scoutmeta-llama/llama-4-scout | 6.5 | 327.68K | $0.1 | $0.3 | — | |||
| Mistral: Sabamistralai/mistral-saba | 6.5 | 32.768K | $0.2 | $0.6 | — | |||
| Mistral: Ministral 3 14B 2512mistralai/ministral-14b-2512 | 6.0 | 262.144K | $0.2 | $0.2 | — | |||
| Nova Micro 1.0amazon/nova-micro-v1 | 5.9 | 128K | $0.035 | $0.14 | 2024-12-05 | |||
| Mistral Largemistralai/mistral-large | 5.8 | 128K | $2 | $6 | — | |||
| Meta: Llama 3.2 3B Instructmeta-llama/llama-3.2-3b-instruct | 5.7 | 131.072K | $0.05 | $0.33 | — | |||
| Mistral: Mixtral 8x22B Instructmistralai/mixtral-8x22b-instruct | 5.7 | 65.536K | $2 | $6 | — | |||
| Mistral: Ministral 3 8B 2512mistralai/ministral-8b-2512 | 5.5 | 262.144K | $0.15 | $0.15 | — | |||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | 5.5 | 262.144K | $0.075 | $0.075 | — | |||
| GPT-3.5-turboopenai/gpt-3.5-turbo | 5.5 | 16.385K | $0.5 | $1.5 | 2023-03-01 | |||
| OpenAI: GPT-3.5 Turbo (batch)openai/gpt-3.5-turbo:batch | 5.5 | 16.385K | $0.25 | $0.75 | — | |||
| IBM: Granite 4.0 Microibm-granite/granite-4.0-h-micro | 5.1 | 131K | $0.017 | $0.112 | — | |||
| Meta: Llama 3.2 1B Instructmeta-llama/llama-3.2-1b-instruct | 4.8 | 60K | $0.027 | $0.201 | — | |||
| Mistral: Ministral 3 3B 2512mistralai/ministral-3b-2512 | 4.8 | 131.072K | $0.1 | $0.1 | — |