MODEL PROFILE

Mistral Large 4 (High)

Mistral AI · mistral-large-4

Mistral Large 4 is our largest and most capable model to date: a 1 trillion-parameter natively multimodal Mixture-of-Experts model with 49 billion active parameters per token (52 billion including embeddings and output layers), trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own datacenters in Europe. Mistral Large 4 unifies instruction following, reasoning, coding, and agentic workflows in a single set of weights. While a generalist model, it shows especially good performance on workloads such as cybersecurity, finance, and law, and it surpasses frontier closed models on visual grounding. It is natively fluent in 160+ languages, including every official language of the European Union. Find more information on our blog. The model is also served on the Mistral API as `mistral-large-4`.

Text generationlicense:other
Context window1,000,000 Token
Input → OutputText、Image → Text
Model weightsOpen weights
Profile updated2026/11/2 19:15:49
OVERVIEW

Model overview

Mistral Large 4 is our largest and most capable model to date: a 1 trillion-parameter natively multimodal Mixture-of-Experts model with 49 billion active parameters per token (52 billion including embeddings and output layers), trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own datacenters in Europe. Mistral Large 4 unifies instruction following, reasoning, coding, and agentic workflows in a single set of weights. While a generalist model, it shows especially good performance on workloads such as cybersecurity, finance, and law, and it surpasses frontier closed models on visual grounding. It is natively fluent in 160+ languages, including every official language of the European Union. Find more information on our blog. The model is also served on the Mistral API as `mistral-large-4`.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
Artificial Analysis · High ↗USD 0.7USD 2.1Per million tokens2026/11/2 06:30:46
Artificial Analysis · Mistral Large 4 Preview ↗USD 1.36USD 4.18Per million tokens2026/10/29 11:41:31

Some channels offer cache discounts. Check the source for cache read, write and additional fees.

Estimate monthly base token costs

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Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

Terminal-Bench 4.00.25HighArtificial Analysis ↗采集于 2026/11/2 06:30:46
Terminal-Bench 4.00.27Mistral Large 4 PreviewArtificial Analysis ↗采集于 2026/10/29 11:41:31
AA Intelligence Index26.02HighArtificial Analysis ↗采集于 2026/11/2 06:30:46
AA Intelligence Index25.29Mistral Large 4 PreviewArtificial Analysis ↗采集于 2026/10/29 11:41:31
Time to first token1.42HighArtificial Analysis ↗采集于 2026/11/2 06:30:46
Time to first token1.61Mistral Large 4 PreviewArtificial Analysis ↗采集于 2026/10/29 11:41:31
Output speed161.33HighArtificial Analysis ↗采集于 2026/11/2 06:30:46
Output speed111.33Mistral Large 4 PreviewArtificial Analysis ↗采集于 2026/10/29 11:41:31
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Frequently asked questions

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:Mistral Ecosystem Open-Weight License。模型介绍与第三方评测均以原来源的具体版本和方法为准。