Mistral Medium 3.1
Mistral AIdocs.mistral.ai/models/mistral-medium-3-1-25-08
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...
Updated 13 h ago · first seen 11 Sept 2026
model_01M2943ZTGGPD2XTECZSQ69EKN
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 16 h agomedium
- Status
Source:Mistral AI docsT1observed 16 h agohigh
- Version
Source:Mistral AI docsT1observed 16 h agohigh
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 16 h agomedium
- Deprecation date
Source:Mistral AI docsT1observed 16 h agohigh
- Retirement date
Source:Mistral AI docsT1observed 16 h agohigh
- Official page
Source:Mistral AI docsT1observed 16 h agohigh
- API model id
Source:Mistral AI docsT1observed 16 h agohigh
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 16 h agomedium
Architecture
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 16 h agomedium
Capabilities
Modalities
- Modalities
- imagetext
- Input
- imagetext
- 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
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 16 h agomedium
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 16 h agomedium
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 16 h agomedium
Benchmarks10
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 & Pricing2
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 Plateforme$2 → $111 Sept 2026
- Mistral AI La Plateformefirst observed $211 Sept 2026
Input price · USD / 1M tokens 1 provider
- Mistral AI La Plateforme
- Mistral AI La Plateforme$0.40 → $0.2011 Sept 2026
- Mistral AI La Plateformefirst observed $0.4011 Sept 2026
Timeline15
Full timeline →Mistral Medium 3.1: context length changed from 128000 to 131072
Context window128K tokens→131.1K tokensopenrouterMistral Medium 3.1 scores 10.61% on Terminal-Bench
artificial_analysisMistral Medium 3.1 scores 13.86% on Terminal-Bench
artificial_analysisMistral Medium 3.1 scores 0% on Terminal-Bench
artificial_analysisMistral Medium 3.1 scores 40.64% on τ²-bench
artificial_analysisMistral Medium 3.1 scores 54.16% on MMMU-Pro
artificial_analysisMistral Medium 3.1 scores 39.8% on IFBench
artificial_analysisMistral Medium 3.1 scores 32.41% on SciCode
artificial_analysisMistral Medium 3.1 scores 4.68% on Humanity's Last Exam
artificial_analysisMistral Medium 3.1 scores 58.79% on GPQA
artificial_analysisMistral Medium 3.1 scores 9.89 on Artificial Analysis Intelligence Index
artificial_analysisMistral Medium 3.1: context length changed from 131072 to 128000
Context window131.1K tokens→128K tokensartificial_analysisMistral AI La Plateforme lists Mistral Medium 3.1 at $0.2 in / $1 out per 1M tokens
openrouterMistral AI La Plateforme lists Mistral Medium 3.1 at $0.4 in / $2 out per 1M tokens
openrouter
Change history21
Viewing AI Atlas as of 12 Mar 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →Mistral Medium 3.1 was not yet in AI Atlas on 12 Mar 2026
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
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
24
Source tiers
T1T26 / 18
Freshest observation
13 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 →