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AI Atlas
ModelActiveClosed / proprietary

Mistral OCR 4

Mistral AIfamily · Mistral

Open in Graph
data quality51

Updated 4 h ago · first seen 12 Sept 2026

model_01M29XXVAC0NJ4RKSZJFXAQWWT

Overview

Identity

Canonical model
Yesidentity confidence: highOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
None recorded — closed weightsofficial_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
None recorded
API aliases
NoneIdentifiers 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

Closed / proprietaryweights not available; 7 dimensions unknown.

Weights are not available; the model is reachable only through an API or a product.

  • Weights

    No

  • Inference code

  • Training code

  • Training data

  • Dataset

  • Commercial use

  • Redistribution

  • Derivatives

dimensions marked null are unknown, not false

Key facts

Release date

Source:Mistral AI docsT2observed 13 h agomediumLLM-extracted

Status

Source:Mistral AI docsT2observed 13 h agomediumLLM-extracted

Version

Source:Mistral AI docsT2observed 13 h agomediumLLM-extracted

Capabilities

Modalities

Modalities
documenttext
Input
document
Output
text

Capabilities

  • Tool calling

    Unavailable

  • Structured output

    Yes

    Mistral AI docs · T2

  • Reasoning

    Unavailable

  • Vision

    Yes

    Mistral AI docs · T2

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Languages

Source:Mistral AI docsT2observed 13 h agomediumLLM-extracted

Versions & Artifacts0

Version history

Opennessfirst observation only

11 Sept 2026current

Statusfirst 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.

Change history14

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 11 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

Mistral OCR 4 was not yet in AI Atlas on 11 Sept 2026

First seen 12 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
14 claims · 14 properties

Familyfamily1

Claim history for Family
ValueValid from → toStatusSourceConfidenceExtractor
MistralcurrentcurrentMistral AI docsT2mediumllm

Versionversion1

Claim history for Version
ValueValid from → toStatusSourceConfidenceExtractor
4currentcurrentMistral AI docsT2mediumllm

Release daterelease_date1

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
23 Jun 2026currentcurrentMistral AI docsT2mediumllm

Statusstatus1

Claim history for Status
ValueValid from → toStatusSourceConfidenceExtractor
activecurrentcurrentMistral AI docsT2mediumllm

Opennessopenness1

Claim history for Openness
ValueValid from → toStatusSourceConfidenceExtractor
proprietarycurrentcurrentMistral AI docsT2mediumllm

Modalitiesmodalities1

Claim history for Modalities
ValueValid from → toStatusSourceConfidenceExtractor
document, textcurrentcurrentMistral AI docsT2mediumllm

Input modalitiesmodalities_input1

Claim history for Input modalities
ValueValid from → toStatusSourceConfidenceExtractor
documentcurrentcurrentMistral AI docsT2mediumllm

Output modalitiesmodalities_output1

Claim history for Output modalities
ValueValid from → toStatusSourceConfidenceExtractor
textcurrentcurrentMistral AI docsT2mediumllm

Languageslanguages1

Claim history for Languages
ValueValid from → toStatusSourceConfidenceExtractor
170 languagescurrentcurrentMistral AI docsT2mediumllm

Hardware requirementshardware_requirements1

Claim history for Hardware requirements
ValueValid from → toStatusSourceConfidenceExtractor
single containercurrentcurrentMistral AI docsT2mediumllm

Safety notessafety_notes1

Claim history for Safety notes
ValueValid from → toStatusSourceConfidenceExtractor
Not intended for medical diagnosis, legal advice or judgment, high-stakes financial decisions, safety-critical systems, real-time/latency-sensitive processing, or non-document inputs (raw audio, video, etc.).currentcurrentMistral AI docsT2mediumllm

Structured outputstructured_output1

Claim history for Structured output
ValueValid from → toStatusSourceConfidenceExtractor
YescurrentcurrentMistral AI docsT2mediumllm

Visionvision1

Claim history for Vision
ValueValid from → toStatusSourceConfidenceExtractor
YescurrentcurrentMistral AI docsT2mediumllm

Weights availableweights_available1

Claim history for Weights available
ValueValid from → toStatusSourceConfidenceExtractor
NocurrentcurrentAI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2highderived

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

14

Source tiers

T214

Freshest observation

4 h ago

Conflicts

None

Source documents 1

Source documents
SourceDocumentTypeTierLast observedSnapshots
Mistral AI docsmistral.ai/news/ocr-4 newsT1· Official13 h ago1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (51/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →