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Is there an AI for this?

Model

Mistral Large 3

Recorded as suitable for chat, rag, coding, reasoning, multilingual, agentic, long context.

Source
Model registry API
Verified
19 Sep 2026
Confidence
High

01What this is

Author
mistralai
Family
Mistral 3
Task
text-generation
Hugging Face
mistralai/Mistral-Large-3-675B-Instruct-2512-BF16
OpenRouter
mistralai/mistral-large-2512
Also known as
Mistral Large 3, mistral-large-3, mistral large, mistral-large-2512

02Registry facts

19 Sep 2026
LicenceFACT

apache-2.0

FreshRetrieved 19 Sep 2026
ParametersFACT

not returned by the registry

Evidence not verified
Context lengthFACT

not returned by the registry

Evidence not verified
Downloads (30 days)FACT

42

FreshRetrieved 19 Sep 2026
LikesFACT

14

FreshRetrieved 19 Sep 2026
GatedFACT

no

FreshRetrieved 19 Sep 2026

Model

downloadsFACT

42

Verification may be outdatedRetrieved 19 Sep 2026
gatedFACT

false

Verification may be outdatedRetrieved 19 Sep 2026
likesFACT

14

Verification may be outdatedRetrieved 19 Sep 2026
model licenseFACT

apache-2.0

Verification may be outdatedRetrieved 19 Sep 2026

Other

available on platform · vendorFACT

vendor

AgeingRetrieved 19 Sep 2026
available on platform · azureFACT

azure

Evidence not verified — the quoted phrase was not found in the fetched document.

Evidence not verified
available on platform · awsFACT

aws

The source document changed after this was recorded; it is queued for re-checking.

Verification may be outdatedRetrieved 19 Sep 2026
last modifiedFACT

2025-12-19T16:44:12.000Z

Verification may be outdatedRetrieved 19 Sep 2026
libraryFACT

vllm

AgeingRetrieved 19 Sep 2026

03VRAM by quantisation

ASSESSMENT

Peak VRAM for serving this model, computed by lib/deployment/hardware.ts from weights + KV cache + 15% runtime overhead. Inputs: — parameters, 8,192 tokens of context (assumed — none fetched yet), 4 concurrent requests (assumed).

Decimal GB (10⁹ bytes), matching how GPU memory is advertised.
QuantisationWeightsTotal
bf16Needs a fetched parameter count.not yet fetched
fp8Needs a fetched parameter count.not yet fetched
int4Needs a fetched parameter count.not yet fetched

No parameter count has been fetched for this model, so there is nothing to compute. We will not infer a size from the model’s name.


04Hardware profiles

No hardware profile was sized for this answer.


05Hosted providers

No hosted provider has been fetched for this model. OpenRouter’s catalogue is read when our refresh next runs; until then this is empty rather than assumed.


06Deployment stacks

0 using it

No published deployment stack names this model yet.


07Evidence

7 verified
  1. 01
    Tier 2official vendor legal documentationVendor legal and technical documentation

    Mistral Docs

    https://docs.mistral.ai/models

    AgeingRetrieved 19 Sep 2026sha256:75db4776a3cb

    1 record

  2. 02
    Tier 2official vendor legal documentationVendor legal and technical documentation

    Models at a glance - Amazon Bedrock

    https://docs.aws.amazon.com/bedrock/latest/userguide/model-cards.html

    AgeingRetrieved 19 Sep 2026sha256:4c3b2b576226

    1 record

  3. 03–08
    Tier 4official repository / model cardHugging Face Hub

    Hugging Face model card data — mistralai/Mistral-Large-3-675B-Instruct-2512-BF16

    https://huggingface.co/api/models/mistralai/Mistral-Large-3-675B-Instruct-2512-BF16

    Verification may be outdatedRetrieved 19 Sep 2026sha256:7a975eab44a3

    6 records · · · · ·

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