mistralai/Mistral-Large-4-1T-A52B · Hugging Face
Mistral Large 4, Mistral AI's largest and most capable model to date, is a 1 trillion-parameter natively multimodal Mixture-of-Experts model. It features 49 billion active parameters per token (52 billion including embeddings and output layers) and was trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's European datacenters. Support for this model has been merged into llama.cpp via pull request 31376.
This marks Mistral AI's first 1 trillion-parameter natively multimodal Mixture-of-Experts model, unlike their previous models which had fewer parameters or different architectures.
时间与来源
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发布当时偏移：UTC+02026年10月29日 14:13 UTC
收录当时偏移：UTC+02026年10月29日 15:01 UTC
- 发布
- 2026年10月29日 14:13
- 收录
- 2026年10月29日 15:01
- 来源类型
- 开发者社区
- 档位
- 社区
- 信源状态
- 同步延迟
档位是按信源手工设定的编辑判断，不是逐条打分。
讨论趋势
百分比基于采集到的讨论信号，不代表新增评论数或独立参与人数。曲线仅用于同一话题在不同时段的比较。
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.
- ~1T total / ~52B active parameters: granular Mixture-of-Experts with 128 routed experts (4 active per token) and 1 shared expert.
- Multimodal input: accepts text and image input, with text output. Pixtral-style vision encoder trained to handle variable image sizes and aspect ratios.
- Instruct and Reasoning functionalities with function calls, reasoning effort configurable per request.
- Reasoning Mode: three reasoning efforts — low, medium, high (default) — so the same model can answer a quick chat reply or work through a complex agentic run.
- Vision: analyzes images, charts, technical drawings, and documents, with state-of-the-art visual grounding among open weights.
- Multilingual: natively fluent in 160+ languages, including all official languages of the European Union.
- Cybersecurity: state of the art among open-weight models for security work, while refusing malicious requests.
We release this model under the Mistral Ecosystem Open-Weight License : a modified version of the MIT license, for both commercial and non-commercial use — operating a Model-as-a-Service business requires a separate commercial license with Mistral.