Ministral 3 14B
Ministral 3 14B is an open-source text generation model from Mistral with a 256,000-token context window.
MistralCompact open-source text generation from Mistral
Ministral 3 14B is a text generation model developed by Mistral and released in December 2025. It is part of Mistral's Ministral model family and is available as an open-source release, meaning the weights can be accessed and used outside of proprietary API constraints. The model supports a 256,000-token context window and produces responses up to 16,000 tokens in length.
With its large context window, Ministral 3 14B is suited for tasks that require processing long documents, extended conversations, or multi-step instructions within a single prompt. Its 14-billion parameter scale positions it as a mid-size model that balances capability with deployment flexibility. Being open source, it is particularly relevant for developers and organizations that need to run models in self-hosted or on-premise environments.
What Ministral 3 14B supports
Long Context Window
Processes up to 256,000 tokens in a single prompt, enabling analysis of long documents or extended multi-turn conversations without truncation.
Text Generation
Generates natural language text for tasks such as summarization, drafting, and question answering, with a maximum response size of 16,000 tokens.
Open Source Weights
Released as an open-source model, allowing developers to download and deploy the weights in self-hosted or on-premise environments.
Instruction Following
Designed for chat-style interactions, the model handles multi-step instructions and structured prompts through its llm_chat architecture.
API Integration
Available as a first-party hosted model on MindStudio, accessible without managing separate API keys or infrastructure.
Ready to build with Ministral 3 14B?
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 | 69.3% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 57.2% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 35.1% |
| HLE | Questions that challenge frontier models across many domains | 4.6% |
| SciCode | Scientific research coding and numerical methods | 23.6% |
Common questions about Ministral 3 14B
What is the context window size for Ministral 3 14B?
Ministral 3 14B supports a context window of 256,000 tokens, allowing it to process long documents or extended conversations in a single prompt.
What is the maximum response length?
The model can generate responses up to 16,000 tokens in a single output.
Is Ministral 3 14B open source?
Yes, Ministral 3 14B is tagged as open source, meaning the model weights are publicly available for self-hosted or on-premise deployment.
Who developed Ministral 3 14B?
Ministral 3 14B was developed and published by Mistral, a French AI company. It was released in December 2025.
Does Ministral 3 14B support image or video inputs?
Based on the available metadata, Ministral 3 14B does not have confirmed support for image or video inputs. It is a text-only generation model.
What people think about Ministral 3 14B
Community discussions on r/LocalLLaMA show general interest in the Ministral 3 release, with the announcement thread receiving 282 upvotes and 61 comments shortly after launch. Users in the llama.cpp benchmarks thread (71 upvotes) engaged with concrete performance data for local inference scenarios.
A recurring theme across threads is the model's suitability as a local base model, with some users evaluating it for on-device use cases. The broader context of Mistral releasing multiple models in a short period (871-upvote thread) generated discussion about the pace of releases, though specific limitations of Ministral 3 14B were not a dominant focus.
Mistral AI drops 3x as many LLMs in a single week as OpenAI did in 6 years
Ministral-3 has been released
Google Gemini 3.1 Pro Preview Soon?
Mistral 3 llama.cpp benchmarks
Looking for a Base Model
Parameters & options
Explore similar models
MistralMinistral 3 3B
Ministral 3 3B is a 3-billion-parameter open-source text generation model from Mistral with a 256,000-token context window.
MistralMinistral 3 8B
Ministral 3 8B is an open-source text generation model from Mistral with a 256,000-token context window.
MistralMistral Large 3
Mistral Large 3 is an open-source text generation model from Mistral with a 256,000 token context window.
IBMGranite 4.2 30B
TencentHy3
Hy3 is a text generation model from Tencent with a 262,144-token context window, available via DeepInfra.
XiaomiMiMo V2.5
MistralMistral 7B Instruct
Mistral 7B Instruct is a 7-billion-parameter text generation model from Mistral designed for instruction-following tasks.
MistralMistral Small 3.1 (25.03)
Mistral Small 3.1 (25.03) is a text generation model from Mistral with a 128,000-token context window, released in March 2025.
Start building with Ministral 3 14B
No API keys required. Create AI-powered workflows with Ministral 3 14B in minutes — free.