Source-verified model profile · 1 October 2026

Ministral 3 3B Instruct 2512

Ministral 3 3B Instruct 2512 is an open-weight model from Mistral AI focused on edge chat, vision, compact assistants and local inference. The profile separates model facts, license terms, hardware, local/self-hosted operation and EU data-residency questions.

OPEN WEIGHTSAPACHE 2.0EUROPEAN UNIONEU SELF-HOSTING POSSIBLE
Direct answer

What is Ministral 3 3B Instruct 2512?

Ministral 3 3B Instruct 2512 is a Ministral 3 open-weight model published by Mistral AI. It is aimed at edge chat, vision, compact assistants and local inference, with 3B-class language model + vision encoder, Up to 262,144 in published generation configuration of context and Text + image → text. The recorded license is Apache 2.0.

The exact checkpoint, precision and runtime matter. Quantized or optimized variants can reduce memory substantially, while long context and multimodal inputs increase runtime memory.

Official model source ↗
Provider origin🇫🇷 France
RegionEuropean Union
Parameters3B-class language model + vision encoder
Active computeDense
ContextUp to 262,144 in published generation configuration
ModalitiesText + image → text
LicenseApache 2.0
VerificationSource-verified · 2026-10-01
Technical profile

What matters for selection.

01Edge-focused family

Source-level technical characteristic used for deployment comparison.

02Vision capability

Source-level technical characteristic used for deployment comparison.

03Multilingual

Source-level technical characteristic used for deployment comparison.

04Official GGUF variants

Source-level technical characteristic used for deployment comparison.

05Apache 2.0

Source-level technical characteristic used for deployment comparison.

Hardware & runtime

Can it run locally?

Consumer/local class. Mistral documents less than 8GB RAM/VRAM for further-quantized variants and 8GB-class FP8 operation.

Mistral publishes vLLM/mistral-common support plus additional GGUF and ONNX formats.

Do not size hardware from parameter count alone: precision, context length, KV cache, batch size and modality encoders can change the real memory envelope.

License

Commercial-use check.

The recorded license is Apache 2.0. Open weights describe technical availability, not a blanket statement that every use, derivative, redistribution or hosted service is unrestricted.

For production, retain the exact license and checkpoint revision and review any separate usage policy.

Technical comparison only — not legal advice.
EU deployment lens

Origin, residency and compliance are separate.

🇫🇷 France is the provider origin recorded for this model. It is not a statement about training-data origin or where your operational data is processed.

EU/EEA self-hosting is technically possible when weights, inference, RAG, embeddings, logging, monitoring and backups are kept on the selected infrastructure. Any external services must be assessed separately.

Self-hosting is not itself a GDPR or AI Act compliance badge.

EU deployment & data-residency guide →
FAQ

Common questions.

What is Ministral 3 3B Instruct 2512?

Ministral 3 3B Instruct 2512 is an open-weight model from Mistral AI focused on edge chat, vision, compact assistants and local inference.

Can Ministral 3 3B Instruct 2512 run locally?

Consumer/local class. Mistral documents less than 8GB RAM/VRAM for further-quantized variants and 8GB-class FP8 operation.

Can Ministral 3 3B Instruct 2512 be deployed in the EU?

Yes, technically, when the downloadable weights and complete inference/data stack are operated on EU/EEA infrastructure.

Can Ministral 3 3B Instruct 2512 be used commercially?

The recorded license is Apache 2.0; review the exact model terms before production use.

Primary source

Verify the exact checkpoint.

Publisher documentation remains authoritative for revision-specific files, runtime settings, context behavior and license links.

Mistral AI · official model page ↗