Mistral AI
This model is the instruct post-trained version in FP8, fine-tuned for instruction tasks, making it ideal for chat and instruction based use cases.
Running this yourself: consumer gpu should be enough.
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36.2
Quality Score
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Arena ELO
3B
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
14 of 22 public signals
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160.5K
Downloads
280
Likes
Oct 2025
Released
3/5 signals
1/4 signals
4/5 signals
3/4 signals
3/4 signals
Parameters
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Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
Launches
2
Open Source
1
General
8
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Ministral-3-3B-Instruct-2512 is now available through local Ollama runtime. 256K context window listed. The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware.
View source
Mistral is bringing @aiDotEngineer back to Paris. After last year’s sold-out edition, our VP of Engineering Lélio Renard-Lavaud joins speakers from @bfl_ai , @cognition, @huggingface, and more. Explore the event and secure your spot: https://t.co/SyEfmXAdCF
Today, we’re announcing a strategic collaboration with @HUMAIN spanning AI infrastructure, advanced model development, and the deployment of AI solutions in Saudi Arabia and across the region. Together, we will work on localized frontier AI models, with initial areas of focus
☁️Mistral is bringing together the inference infrastructure, open models, and long-term commitments Europe needs to control its AI future, and setting a roadmap for the world. 🧵: https://t.co/LeP53uBUES https://t.co/JjluVwJecj
Ministral-3-3B-Instruct-2512 is now available through local Ollama runtime. 256K context window listed. The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware.