Ministral 3 3B
Ministral 3 3B is a 3-billion-parameter open-source text generation model from Mistral with a 256,000-token context window.
MistralCompact open-source text generation from Mistral
Ministral 3 3B is a 3-billion-parameter large language model developed and published by Mistral AI, released in December 2025. It is part of Mistral's Ministral family of compact models and is made available as open source. With a 256,000-token context window, it can process and generate responses across long documents or extended conversations within a single inference call.
The model is designed for text generation tasks where a smaller parameter count is preferred for efficiency, cost, or deployment constraints. Its 256,000-token context window makes it well-suited for document summarization, retrieval-augmented generation pipelines, and long-form text tasks that require holding large amounts of context. Being open source, it can be fine-tuned or self-hosted by developers who need more control over their deployment environment.
What Ministral 3 3B supports
Long Context Window
Supports up to 256,000 tokens of context in a single call, enabling processing of long documents, codebases, or extended conversations without truncation.
Text Generation
Generates coherent natural language text for tasks such as summarization, drafting, question answering, and instruction following.
Open Source
Released under an open-source license, allowing developers to download, fine-tune, and self-host the model weights for custom deployments.
Compact Architecture
At 3 billion parameters, the model is designed to run efficiently in resource-constrained environments while still supporting a large context window.
Instruction Following
Trained as a chat-style model (llm_chat), it responds to structured prompts and multi-turn conversational instructions.
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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 | 52.4% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 35.8% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 24.7% |
| HLE | Questions that challenge frontier models across many domains | 5.3% |
| SciCode | Scientific research coding and numerical methods | 14.4% |
Common questions about Ministral 3 3B
What is the context window size for Ministral 3 3B?
Ministral 3 3B supports a context window of 256,000 tokens, allowing it to process very long documents or extended conversations in a single request.
What is the maximum response size?
The model can generate responses of up to 16,000 tokens per call.
Is Ministral 3 3B open source?
Yes, Ministral 3 3B is tagged as open source, meaning the model weights are publicly available for download, fine-tuning, and self-hosting.
Who publishes Ministral 3 3B?
Ministral 3 3B is published by Mistral AI and is served as a first-party provider on MindStudio.
Does Ministral 3 3B support image or video inputs?
No. Based on the available metadata, Ministral 3 3B does not support image or video analysis — it is a text-only model.
When was Ministral 3 3B released?
Ministral 3 3B was released in December 2025.
What people think about Ministral 3 3B
Community reception to the Ministral 3 family release was generally positive, with threads on r/LocalLLaMA accumulating hundreds of upvotes and discussion focused on the breadth of the open-weight release spanning 3B to 675B parameters. Users highlighted the availability of smaller models like the 3B variant as particularly useful for local and edge deployment scenarios.
Some community members noted the rapid pace of Mistral's model releases as a point of interest, while discussions also touched on benchmark comparisons and practical use cases for running smaller models on consumer hardware. The Ministral-3 dedicated thread drew focused conversation about the 3B and 8B variants and their suitability for on-device applications.
Mistral 3 Family Released (10 Models): Large 3 hits 1418 Elo, Ministral 3 (3B/8B/14B) beats Qwen-VL. Full Benchmarks & Specs.
Mistral AI drops 3x as many LLMs in a single week as OpenAI did in 6 years
Mistral just released Mistral 3 — a full open-weight model family from 3B all the way up to 675B parameters.
Ministral-3 has been released
Google Gemini 3.1 Pro Preview Soon?
Parameters & options
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