ModelActive

Mistral Medium 3.5

Mistral AI docs.mistral.ai/models/mistral-medium-3-5-26-04

Our frontier-class multimodal model optimized for agentic and coding use cases.

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data quality74

Updated 10 h ago · first seen 11 Sept 2026

model_01M2943ZSC4AD206PQPES6YA85

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 12 h agomedium
Version: Source:Mistral AI docsT1observed 12 h agohigh
Official page: docs.mistral.ai/models/mistral-medium-3-5-26-04
Source:Mistral AI docsT1observed 12 h agohigh
Openrouter id: Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Architecture

Tokenizer: Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Capabilities

Modalities

Modalities: imagetext
Input: imagetext
Output: text

Capabilities

Tool calling
Yes
Mistral AI docs · T1
Structured output
Yes
Mistral AI docs · T1
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable

Context window: Source:Mistral AI docsT1observed 12 h agohigh
Max output: Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Tokenizer: Source:OpenRouter public model & pricing listingT2observed 12 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

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.

Providers & Pricing3

All offers in the price terminal →

Current prices per 1M tokens
Provider	Input / 1M	Output / 1M	Cached in	Batch in / out	Context	Observed	Source
Mistral AI La Plateformemistralai/mistral-medium-3-5:batch	$0.75	$3.75	—	—	262.1K	8 h ago	openrouter.aiT2
Mistral AI La Plateforme	$1.5	$7.5	—	—	—	12 h ago	docs.mistral.aiT1
Mistral AI La Plateformemistralai/mistral-medium-3-5	$1.5	$7.5	—	—	262.1K	8 h ago	openrouter.aiT2

USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 1 provider

Mistral AI La Plateforme

Mistral AI La Plateforme$7.5 → $3.7511 Sept 2026
Mistral AI La Plateformefirst observed $7.511 Sept 2026

Input price · USD / 1M tokens 1 provider

Mistral AI La Plateforme

Mistral AI La Plateforme$1.5 → $0.7511 Sept 2026
Mistral AI La Plateformefirst observed $1.511 Sept 2026

Timeline14

Full timeline →

11 Sept 2026
Benchmark resultModelMistral Medium 3.5Mistral AI
Mistral Medium 3.5 scores 33.33% on Terminal-Bench
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelMistral Medium 3.5Mistral AI
Mistral Medium 3.5 scores 50.56% on Terminal-Bench
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelMistral Medium 3.5Mistral AI
Mistral Medium 3.5 scores 0% on Terminal-Bench
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelMistral Medium 3.5Mistral AI
Mistral Medium 3.5 scores 94.15% on τ²-bench
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelMistral Medium 3.5Mistral AI
Mistral Medium 3.5 scores 64.86% on MMMU-Pro
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelMistral Medium 3.5Mistral AI
Mistral Medium 3.5 scores 68.78% on IFBench
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelMistral Medium 3.5Mistral AI
Mistral Medium 3.5 scores 40.16% on SciCode
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelMistral Medium 3.5Mistral AI
Mistral Medium 3.5 scores 13.76% on Humanity's Last Exam
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelMistral Medium 3.5Mistral AI
Mistral Medium 3.5 scores 74.85% on GPQA
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Benchmark resultModelMistral Medium 3.5Mistral AI
Mistral Medium 3.5 scores 14.89 on Artificial Analysis Intelligence Index
artificial_analysis
artificialanalysis.ai
11 Sept 2026
Listed by providerModelMistral Medium 3.5Mistral AI
Mistral AI La Plateforme lists Mistral Medium 3.5 at $0.75 in / $3.75 out per 1M tokens
openrouter
openrouter.ai
11 Sept 2026
Listed by providerModelMistral Medium 3.5Mistral AI
Mistral AI La Plateforme lists Mistral Medium 3.5 at $1.5 in / $7.5 out per 1M tokens
openrouter
openrouter.ai
11 Sept 2026
Listed by providerModelMistral Medium 3.5Mistral AI
Mistral AI La Plateforme lists Mistral Medium 3.5 at $1.5 in / $7.5 out per 1M tokens
mistral
docs.mistral.ai
11 Sept 2026
New modelModelMistral Medium 3.5Mistral AI
New model: Mistral Medium 3.5 (Mistral AI)
mistral
docs.mistral.ai

Change history21

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 12 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

Attributes as of 12 Sept 2026 28 claims in force

Version: 26.04
Release date: 30 Apr 2026
Openness: open-weights
License: MIT-Modified
Context window: 256K tokens
Max output: 209.7K tokens
Modalities: document, image, text
Input modalities: document, image, text
Output modalities: text
Tokenizer: Mistral
API alias: mistral-medium-latest
Official page: docs.mistral.ai/models/mistral-medium-3-5-26-04
Aa context window: 256,000
Aa openness: open-weights
Commercial use allowed: Yes
Derivatives allowed: Yes
File input: Yes
Aa median output tokens per second: 145.5
Openrouter id: mistralai/mistral-medium-3-5
Openrouter listed at: 30 Apr 2026
Reasoning: Yes
Redistribution allowed: Yes
Structured output: Yes
Supported parameters: frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, reasoning_effort, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p
Tool calling: Yes
Vision: Yes
Weights available: Yes

21 claims · 20 properties1 conflicting

Versionversion1

Claim history for Version
Value	Valid from → to	Status	Source	Confidence	Extractor
26.04	11 Sept 2026 20:56 UTC → current	current	Mistral AI docsT1	high	deterministic

Release daterelease_date1

Claim history for Release date
Value	Valid from → to	Status	Source	Confidence	Extractor
30 Apr 2026	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Opennessopenness1

Claim history for Openness
Value	Valid from → to	Status	Source	Confidence	Extractor
open-weights	11 Sept 2026 20:56 UTC → current	current	Mistral AI docsT1	high	deterministic

Licenselicense1

Claim history for License
Value	Valid from → to	Status	Source	Confidence	Extractor
Modified MIT	11 Sept 2026 20:56 UTC → current	current	Mistral AI docsT1	high	deterministic

Context windowcontext_length2conflicting claims

Claim history for Context window
Value	Valid from → to	Status	Source	Confidence	Extractor
262.1K tokens	11 Sept 2026 21:10 UTC → current	conflicting	OpenRouter public model & pricing listingT2	medium	deterministic
256K tokens	11 Sept 2026 20:57 UTC → current	current	Mistral AI docsT1	conflicted	deterministic

Max outputmax_output_tokens1

Claim history for Max output
Value	Valid from → to	Status	Source	Confidence	Extractor
209.7K tokens	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Modalitiesmodalities1

Claim history for Modalities
Value	Valid from → to	Status	Source	Confidence	Extractor
image, text	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Input modalitiesmodalities_input1

Claim history for Input modalities
Value	Valid from → to	Status	Source	Confidence	Extractor
image, text	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Output modalitiesmodalities_output1

Claim history for Output modalities
Value	Valid from → to	Status	Source	Confidence	Extractor
text	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Tokenizertokenizer1

Claim history for Tokenizer
Value	Valid from → to	Status	Source	Confidence	Extractor
Mistral	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

API aliasapi_alias1

Claim history for API alias
Value	Valid from → to	Status	Source	Confidence	Extractor
mistral-medium-latest	11 Sept 2026 20:57 UTC → current	current	Mistral AI docsT1	high	deterministic

Official pageofficial_url1

Claim history for Official page
Value	Valid from → to	Status	Source	Confidence	Extractor
https://docs.mistral.ai/models/mistral-medium-3-5-26-04	11 Sept 2026 20:56 UTC → current	current	Mistral AI docsT1	high	deterministic

Descriptiondescription1

Claim history for Description
Value	Valid from → to	Status	Source	Confidence	Extractor
Our frontier-class multimodal model optimized for agentic and coding use cases.	11 Sept 2026 20:56 UTC → current	current	Mistral AI docsT1	high	deterministic

File inputfile_input1

Claim history for File input
Value	Valid from → to	Status	Source	Confidence	Extractor
Yes	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Openrouter idopenrouter_id1

Claim history for Openrouter id
Value	Valid from → to	Status	Source	Confidence	Extractor
mistralai/mistral-medium-3-5	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Reasoningreasoning1

Claim history for Reasoning
Value	Valid from → to	Status	Source	Confidence	Extractor
Yes	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Structured outputstructured_output1

Claim history for Structured output
Value	Valid from → to	Status	Source	Confidence	Extractor
Yes	11 Sept 2026 20:57 UTC → current	current	Mistral AI docsT1	high	deterministic

Supported parameterssupported_parameters1

Claim history for Supported parameters
Value	Valid from → to	Status	Source	Confidence	Extractor
frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, reasoning_effort, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Tool callingtool_calling1

Claim history for Tool calling
Value	Valid from → to	Status	Source	Confidence	Extractor
Yes	11 Sept 2026 20:57 UTC → current	current	Mistral AI docsT1	high	deterministic

Visionvision1

Claim history for Vision
Value	Valid from → to	Status	Source	Confidence	Extractor
Yes	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

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

Source tiers

T1T29 / 12

Freshest observation

10 h ago

Conflicts

4 flagged

Source documents 4

Source documents
Source	Document	Type	Tier	Last observed	Snapshots
Mistral AI docs	docs.mistral.ai/models	model_docs	T1· Official	6 h ago	1
Mistral AI docs	docs.mistral.ai/models/mistral-medium-3-5-26-04	model_page	T1· Official	12 h ago	1
OpenRouter public model & pricing listing	openrouter.ai/api/v1/models	catalogue	T2· Quality secondary	8 h ago	4
Artificial Analysis	artificialanalysis.ai/leaderboards/models	leaderboard	T2· Quality secondary	10 h ago	1

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

Data quality (74/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →