Mistral Large 2.0
Mistral AIdocs.mistral.ai/models/mistral-large-2-0-24-07
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....
Updated 6 h ago · first seen 11 Sept 2026
model_01M2943ZW4SDY70SX7J6VYC2Q5
Overview
Identity
Identity block not returned by the API for this entity.
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 13 h agomedium
- Status
Source:Mistral AI docsT1observed 14 h agohigh
- Version
Source:Mistral AI docsT1observed 14 h agohigh
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Deprecation date
Source:Mistral AI docsT1observed 14 h agohigh
- Retirement date
Source:Mistral AI docsT1observed 14 h agohigh
- Official page
Source:Mistral AI docsT1observed 14 h agohigh
- API model id
Source:Mistral AI docsT1observed 14 h agohigh
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
Architecture
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
Capabilities
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
No
Artificial Analysis · T2
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 10 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
Benchmarks5
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
No benchmark results recorded
Providers & Pricing1
All offers in the price terminal →USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Price history
Output price · USD / 1M tokens 1 provider
- Mistral AI La Plateforme
- Mistral AI La Plateformefirst observed $611 Sept 2026
Input price · USD / 1M tokens 1 provider
- Mistral AI La Plateforme
- Mistral AI La Plateformefirst observed $211 Sept 2026
Timeline9
Full timeline →Mistral Large 2.0: context length changed from 128000 to 131072
Context window128K tokens→131.1K tokensopenrouterMistral Large 2.0 scores 33.04% on τ²-bench
artificial_analysisMistral Large 2.0 scores 31.63% on IFBench
artificial_analysisMistral Large 2.0 scores 2.95% on Humanity's Last Exam
artificial_analysisMistral Large 2.0 scores 47.17% on GPQA
artificial_analysisMistral Large 2.0 scores 6.8 on Artificial Analysis Intelligence Index
artificial_analysisMistral Large 2.0: context length changed from 131072 to 128000
Context window131.1K tokens→128K tokensartificial_analysisMistral AI La Plateforme lists Mistral Large 2.0 at $2 in / $6 out per 1M tokens
openrouter
Change history20
Viewing AI Atlas as of 1 Jan 2025 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →Mistral Large 2.0 was not yet in AI Atlas on 1 Jan 2025
Versionversion1
Release daterelease_date1
Statusstatus1
Context windowcontext_length1
Max outputmax_output_tokens1
Knowledge cutoffknowledge_cutoff1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Tokenizertokenizer1
API model idapi_model_id1
Deprecation datedeprecation_date1
Retirement dateretirement_date1
Official pageofficial_url1
Descriptiondescription1
File inputfile_input1
Openrouter idopenrouter_id1
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
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
23
Source tiers
T1T26 / 17
Freshest observation
6 h ago
Conflicts
1 flagged
Source documents 3
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (69/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →