Mistral Large 3 2512
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
Updated 5 h ago · first seen 11 Sept 2026
model_01M294WW8D7Z6A133T8HR8JY5A
Overview
Identity
- Canonical model
- Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
- Official checkpoints
- None recordedofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
- Artifacts
- None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
- Provider deployments
- 2
- API aliases
- mistralai/mistral-large-2512Identifiers under which providers and evaluators refer to this model.
- Folded evaluation variants
- 0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.
Openness
Openness not classified yet — no sourced evidence to place this model in the ontology.
Key facts
- Release date
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
Architecture
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
Capabilities
Modalities
- Modalities
- documentimagetext
- Input
- documentimagetext
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Unavailable
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
Providers & Pricing4
All offers in the price terminal →USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →
Price history
Output price · USD / 1M tokens 2 providers
- Mistral AI La Plateforme
- OpenRouter
- OpenRouter$1.5 → $0.7512 Sept 2026
- OpenRouterfirst observed $1.512 Sept 2026
- Mistral AI La Plateforme$1.5 → $0.7511 Sept 2026
- Mistral AI La Plateformefirst observed $1.511 Sept 2026
Input price · USD / 1M tokens 2 providers
- Mistral AI La Plateforme
- OpenRouter
- OpenRouter$0.50 → $0.2512 Sept 2026
- OpenRouterfirst observed $0.5012 Sept 2026
- Mistral AI La Plateforme$0.50 → $0.2511 Sept 2026
- Mistral AI La Plateformefirst observed $0.5011 Sept 2026
Versions & Artifacts0
Version history
Context windowfirst observation only
11 Sept 2026current
Max outputfirst observation only
11 Sept 2026current
Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.
Artifacts 0
No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.
Timeline4
Full timeline →OpenRouter lists Mistral Large 3 2512 at $0.25 in / $0.75 out per 1M tokens
openrouterOpenRouter lists Mistral Large 3 2512 at $0.5 in / $1.5 out per 1M tokens
openrouterMistral Large 3 2512: modalities changed from ["image", "text"] to ["document", "image", "text"]
Modalitiesimage, text→document, image, textopenrouterMistral Large 3 2512: modalities input changed from ["image", "text"] to ["document", "image", "text"]
Input modalitiesimage, text→document, image, textopenrouter
Change history17
Viewing AI Atlas as of 1 Jul 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →Mistral Large 3 2512 was not yet in AI Atlas on 1 Jul 2026
Release daterelease_date1
Context windowcontext_length1
Max outputmax_output_tokens1
Modalitiesmodalities2
Input modalitiesmodalities_input2
Output modalitiesmodalities_output1
Tokenizertokenizer1
Descriptiondescription1
File inputfile_input1
Openrouter idopenrouter_id1
Openrouter listed atopenrouter_listed_at1
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
Visionvision1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
16
Source tiers
T216
Freshest observation
5 h ago
Conflicts
None
Source documents 1
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (50/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →