Mistral Small 4
Mistral AIdocs.mistral.ai/models/mistral-small-4-0-26-03
Hybrid model unifying instruct, reasoning, and coding in a single efficient model.
Updated 5 h ago · first seen 11 Sept 2026
model_01M2943ZSKTR767DHTCMVEKMB0
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
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
- Hugging Face repo
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
Providers & Pricing3
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$0.60 → $0.3011 Sept 2026
- Mistral AI La Plateformefirst observed $0.6011 Sept 2026
Input price · USD / 1M tokens 1 provider
- Mistral AI La Plateforme
- Mistral AI La Plateforme$0.15 → $0.07511 Sept 2026
- Mistral AI La Plateformefirst observed $0.1511 Sept 2026
Timeline14
Full timeline →Mistral Small 4 scores 17.42% on Terminal-Bench
artificial_analysisMistral Small 4 scores 20.97% on Terminal-Bench
artificial_analysisMistral Small 4 scores 0% on Terminal-Bench
artificial_analysisMistral Small 4 scores 41.23% on τ²-bench
artificial_analysisMistral Small 4 scores 56.82% on MMMU-Pro
artificial_analysisMistral Small 4 scores 48.16% on IFBench
artificial_analysisMistral Small 4 scores 38.77% on SciCode
artificial_analysisMistral Small 4 scores 9.87% on Humanity's Last Exam
artificial_analysisMistral Small 4 scores 76.87% on GPQA
artificial_analysisMistral Small 4 scores 11.45 on Artificial Analysis Intelligence Index
artificial_analysisMistral AI La Plateforme lists Mistral Small 4 at $0.075 in / $0.3 out per 1M tokens
openrouterMistral AI La Plateforme lists Mistral Small 4 at $0.15 in / $0.6 out per 1M tokens
openrouterMistral AI La Plateforme lists Mistral Small 4 at $0.15 in / $0.6 out per 1M tokens
mistral
Change history22
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
- 26.03
- Release date
- 16 Mar 2026
- Openness
- open-weights
- License
- Apache-2.0
- Context window
- 256K tokens
- Max output
- 209.7K tokens
- Modalities
- image, text
- Input modalities
- image, text
- Output modalities
- text
- Tokenizer
- Mistral
- API alias
- mistral-small-latest
- Hugging Face repo
- mistralai/Mistral-Small-4-119B-2603
- Official page
- Aa context window
- 256,000
- Aa openness
- open-weights
- Commercial use allowed
- Yes
- Derivatives allowed
- Yes
- Aa median output tokens per second
- 154.8
- Openrouter id
- mistralai/mistral-small-2603
- Openrouter listed at
- 16 Mar 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_k, top_p
- Tool calling
- Yes
- Vision
- Yes
- Weights available
- Yes
Versionversion1
Release daterelease_date1
Opennessopenness1
Licenselicense1
Context windowcontext_length3conflicting claims
Max outputmax_output_tokens1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Tokenizertokenizer1
API aliasapi_alias1
Hugging Face repohf_repo1
Official pageofficial_url1
Descriptiondescription1
Openrouter idopenrouter_id1
Reasoningreasoning1
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
22
Source tiers
T1T29 / 13
Freshest observation
5 h ago
Conflicts
7 flagged
Source documents 4
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (72/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →