Overview
Mistral Large 4 is Mistral AI's flagship model, launched as a public preview on October 6, 2026. It is a natively multimodal mixture-of-experts (MoE) model with 1.05 trillion total parameters, 49 billion active parameters and a 1.6B vision encoder, and Mistral's documentation lists a 1M-token context window. Mistral calls it "ML4" unofficially, and "le Chonk" very officially.
Mistral trained the model on 3,800 NVIDIA Grace Blackwell GPUs in its own European datacenters. The launch post focuses on coding, agentic workflows and multimodal understanding, with extra attention on cybersecurity, finance and legal work, and says the model supports more than 160 languages, including all official EU languages. It reports 61.7% on DeepSWE v1.1, 59.4% on SWE-Atlas-QnA, 28.3% on Terminal-Bench 4, 59.9% on AutomationBench and 93% of the 40 Cybench challenges.
The preview API is available on Mistral Studio under the model id mistral-large-4, with structured outputs, function calling, document Q&A and batching. Mistral says the weights drop at the end of October 2026; the license for those weights is not yet stated.
| Released | 2026-10-06 |
|---|---|
| License | Not yet published (open weights announced for end of October 2026) |
| Weights | API only |
| Parameters | 1.05T total · 49B active |
| Context | 1M |
| Architecture | Mixture-of-Experts |
| Modalities | Text, Vision |
| Status | Public preview |
Benchmarks
Surge AI human evaluation of coding quality (score out of 5), as published by Mistral
| Benchmark | Mistral Large 4 Preview | Claude Opus 5 | GLM-5.3 | Kimi K3 | GLM-5.2 |
|---|---|---|---|---|---|
| Surge AI coding human eval | 3.74 /5 | 4.22 /5 | 3.6 /5 | 3.59 /5 | 3.4 /5 |
Pricing
| Input | $1.36 / 1M tokens |
|---|---|
| Cached input | $0.14 / 1M tokens |
| Output | $4.18 / 1M tokens |
List price; the docs page shows a discounted $0.68 input / $0.07 cached / $2.09 output during the preview
Strengths
- Frontier-scale MoE: 1.05T total parameters with only 49B active per token
- 1M-token context window on the preview API
- Native vision through a 1.6B vision encoder
- Strong security results: 93% of Cybench challenges and 82% on the AA Cyber Index vulnerability-reproduction test
- Open weights announced for the end of October 2026
Best for
- Coding agents and long terminal workflows
- Agentic business automation
- Security work such as vulnerability reproduction
- Finance and legal document analysis across many languages
How to access
| Provider | Model ID |
|---|---|
| Mistral AI (Mistral Studio) ↗ | mistral-large-4 |
Mistral Large — every version
The full lineage of the Mistral Large line, newest first. Every version has its own page — click any to compare specs, benchmarks and pricing.
| Version | Released | Context | License |
|---|---|---|---|
| Mistral Large 4 | 2026-10-06 | 1M | — |
| Mistral Large 3current | 2025-12-02 | 256K | Apache-2.0 |
| Mistral Large 2.1 (24.11) | 2024-11-18 | — | Open weights |
| Mistral Large 2 (24.07) | 2024-07-24 | — | Open weights |
| Mistral Large (24.02) | 2024-02-26 | — | Proprietary |
FAQ
Is Mistral Large 4 open-weight?
Mistral Large 4 is described in Mistral's docs as an open-weight model, but at launch on October 6, 2026 only the preview API was live. Mistral's launch post says the weights drop at the end of October 2026. The license for the weights has not been published yet.
How much does Mistral Large 4 cost?
Mistral Large 4 lists at $1.36 per million input tokens, $0.14 per million cached input tokens and $4.18 per million output tokens. During the public preview, Mistral's docs page shows discounted rates of $0.68 input, $0.07 cached input and $2.09 output per million tokens.
How big is Mistral Large 4?
Mistral Large 4 is a mixture-of-experts model with 1.05 trillion total parameters and 49 billion active parameters per token, plus a 1.6B vision encoder. It is larger than Mistral Large 3 (675B total, 41B active) and its context window grows from 256K to 1M tokens.