Mistral Large 3
Mistral Large 3 is an open-source text generation model from Mistral with a 256,000 token context window.
MistralOpen-source large language model from Mistral
Mistral Large 3 is a large language model developed by Mistral, a French AI company, and released in December 2025. It is available as an open-source model and supports a context window of up to 256,000 tokens, making it suitable for tasks that require processing long documents or extended conversations. The model generates text responses of up to 16,000 tokens per output.
Mistral Large 3 is designed for general-purpose text generation tasks including reasoning, summarization, coding assistance, and instruction following. Its large context window makes it particularly well-suited for workflows involving lengthy inputs such as codebases, legal documents, or multi-turn dialogue. Being open source, it can be self-hosted or accessed through compatible API providers.
What Mistral Large 3 supports
Long Context Window
Processes up to 256,000 tokens of input in a single request, enabling analysis of long documents, codebases, or extended conversations.
Text Generation
Generates coherent, instruction-following text responses with a maximum output size of 16,000 tokens per response.
Open Source
Released under an open-source license, allowing self-hosting, fine-tuning, and deployment outside of managed API services.
Code Assistance
Supports code generation, explanation, and debugging tasks across common programming languages as part of its general instruction-following capabilities.
Reasoning & Summarization
Handles multi-step reasoning and document summarization tasks, leveraging its large context window to process and condense lengthy inputs.
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Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| MMLU-Pro | Expert knowledge across 14 academic disciplines | 80.7% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 68.0% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 46.5% |
| HLE | Questions that challenge frontier models across many domains | 4.1% |
| SciCode | Scientific research coding and numerical methods | 36.2% |
Common questions about Mistral Large 3
What is the context window size for Mistral Large 3?
Mistral Large 3 supports a context window of 256,000 tokens, allowing it to process long documents or extended conversations in a single request.
What is the maximum response length?
The model can generate up to 16,000 tokens per response.
Is Mistral Large 3 open source?
Yes, Mistral Large 3 is tagged as open source, meaning the model weights are publicly available for self-hosting, fine-tuning, and custom deployment.
When was Mistral Large 3 released?
Mistral Large 3 was released in December 2025.
Does Mistral Large 3 support image or video inputs?
Based on the available metadata, Mistral Large 3 does not have confirmed support for image or video inputs. It is a text generation model.
What people think about Mistral Large 3
Community discussion on r/LocalLLaMA has been active around Mistral Large 3, with threads covering its availability on Hugging Face and interest in GGUF quantizations for local deployment. Users have shown enthusiasm for the model's open-weight release and its large 675B parameter count.
Some users have expressed mixed impressions about real-world performance relative to expectations, as reflected in a thread titled "Unimpressed with Mistral Large 3 675B." Discussions have also touched on inference framework support, including upcoming vLLM compatibility and EQ-Bench evaluation results.
Unimpressed with Mistral Large 3 675B
Mistral 3 Large 675B up on huggingface
Who’s got them Q_001_X_S_REAP Mistral Large 3 GGUFs?
EQ-Bench updates: Gpt-5.2, Opus 4.5, Mistral Large 3 and Nanbeige4-3B
Upcoming vllm Mistral Large 3 support
Parameters & options
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