Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...
Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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.
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 Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost...
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Mistral: Mistral Large 4mistralai/mistral-large-4-0 | Mistral AI |
1269.0 | 1.04858M | $1.36 | $4.18 | — | ||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | Mistral AI |
1097.0 | 262.144K | $0.5 | $1.5 | — | ||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | Mistral AI |
1097.0 | 262.144K | $0.25 | $0.75 | — | ||
| Mistral: Mistral Medium 3.1mistralai/mistral-medium-3.1 | Mistral AI |
1094.0 | 131.072K | $0.4 | $2 | — | ||
| Mistral: Mistral Medium 3.1 (batch)mistralai/mistral-medium-3.1:batch | Mistral AI |
1094.0 | 131.072K | $0.2 | $1 | — | ||
| Mistral: Mistral Medium 3mistralai/mistral-medium-3 | Mistral AI |
1019.0 | 131.072K | $0.4 | $2 | — | ||
| Mistral: Codestral 2508mistralai/codestral-2508 | Mistral AI |
1012.0 | 256K | $0.3 | $0.9 | — | ||
| Mistral: Codestral 2508 (batch)mistralai/codestral-2508:batch | Mistral AI |
1012.0 | 256K | $0.15 | $0.45 | — | ||
| Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | Mistral AI |
902.0 | 128K | $0.075 | $0.2 | — |