mistralai/Mistral-Large-4-1T-A52B
image-text-to-text model by mistralai
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
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. Mistral Large 4 includes the following architectural choices: Mistral Large 4 offers the following capabilities: We release this model under the Mistral Ecosystem Open-Weight License: a modified…
Read the full model card ↗ · Preview checked 2026-10-30T09:30:30.853Z
Inside the original model card — Document outline
- Mistral Large 4 - Le Chonk
- Key Features
- Recommended Settings
- Benchmarks
- Agentic Coding
- Global Intelligence
- Demo Gallery
- Usage
- vLLM (Recommended)
- Installation
- Serve the Model
- Ping the Server
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Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
mistralai/Mistral-Large-4-1T-A52B is a image-text-to-text model repository published by mistralai on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 2,945
- Cumulative likes
- 1,410
- Hugging Face trending score
- 452
- Reported safetensors parameters
- Not reported
- Architecture
- MistralLarge4ForConditionalGeneration
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-09-30T18:35:13.000Z
- Last modified
- 2026-10-29T14:51:07.000Z
Compatibility and lineage
Reported languages: en, fr, de, es, pt, it, ja, ko, ru, zh, ar, fa, id, ms, ne, pl, ro, sr, sv, tr, uk, vi, hi, bn, bg, hr, cs, da, nl, et, fi, el, hu, ga, lv, lt, mt, sk, sl
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.