MODELCATALOG

A full size ladder from 3B to 675B, nearly all Apache-2.0 and none of it gated.

Mistral AI · Open-weight

Mistral

A full size ladder from 3B to 675B, nearly all Apache-2.0 and none of it gated.

Checked as of 2026-10-23

At a glance

Licence
Open source Apache-2.0 (Medium 3.5: Modified MIT)

Apache-2.0 for Large 3, Small 4 and Ministral 3. The exception is Mistral Medium 3.5: its Modified MIT licence removes all rights from companies whose monthly revenue exceeded US$20M. Treat that one as restricted.

Access
APIBedrockSageMaker JumpStartHF
Hugging Face
huggingface.co/mistralai
Source
https://huggingface.co/mistralai

Variants 5

Model Params Context Hardware tierGated InputsStatus
Mistral Medium 3.5 mistralai/Mistral-Medium-3.5-128B Dense. Modified MIT licence with a US$20M monthly revenue cap. 128B 262.144K Multi-GPU ml.p5.48xlarge and up No text, image current
Mistral Large 3 mistralai/Mistral-Large-3-675B-Instruct-2512 Apache-2.0. On Bedrock. The card also says 39B active. 675B41B active 262.144K Multi-GPU ml.p5.48xlarge and up No text, image current
Mistral Small 4 mistralai/Mistral-Small-4-119B-2603 Apache-2.0. Context per the card; config.json says 1,048,576. 119B6.5B active 262.144K Multi-GPU ml.p5.48xlarge and up No text, image current
Ministral 3 14B mistralai/Ministral-3-14B-Instruct-2512 Dense, Apache-2.0. On Bedrock. 13.9B 262.144K 40GB GPU ml.g5.12xlarge / ml.p4d.24xlarge No text, image current
Ministral 3 3B mistralai/Ministral-3-3B-Instruct-2512 Dense, Apache-2.0. On Bedrock and JumpStart. Size from HF safetensors metadata. 3.9B 262.144K 16GB GPU ml.g4dn.xlarge / ml.g5.xlarge No text, image current

"—" means the figure could not be verified from a primary source on 2026-10-23 and has been left blank rather than guessed. Hardware tier is from total parameters (all experts for mixture-of-experts models), since every weight must sit in memory. SageMaker rates on the open-weight page.

Strengths

  • Apache-2.0 right up to the 675B Large 3 flagship.
  • Every listed repo is ungated, and every listed model takes image input with a 256K context.
  • Small 4 is an efficient mixture-of-experts model: 119B total, 6.5B active per token.
  • Ministral 3 3B and 14B are small enough for a single small GPU and are on Bedrock.

Watch out for

  • Medium 3.5, the newest general model, is not Apache-2.0. Check the revenue cap before using it in a large company.
  • Bedrock carries Large 3 and Ministral 3, not Medium 3.5 or Small 4.
  • The Large 3 card gives two active-parameter figures (41B and 39B).