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ModelCap

Mistral Small 3.1 24B

Arena #289Official publisher releaseOpen weights

Mistral AI·#369 of 504 in the all-versions archive

Mistral Small 3.1 24B is a language model from Mistral AI. It ranks #369 of 504 in ModelCap's all-versions archive, with an Index score of 27.8, measured on 2 public benchmarks. Its score range of 22.8–32.8 spans positions #338–#401. It is listed at $0.351 per million input tokens and $0.555 per million output tokens from one provider. It reads up to 128K tokens of context, and its weights are openly downloadable.

Figures as of 6 Nov 2026, 20:32 UTC · download the public dataset · methodology

ModelCap Index · All-versions archive
27.8#369
Measured on 2 public benchmarks · range 22.8–32.8
Evidence as of 28 Oct 2026, 00:00 UTC
Market Gravity
40.7
Secondary market signal

Superseded by Mistral Small 3.2 24B. It no longer holds a current-board position; its all-versions archive rank is #369.

Input
$0.351
per 1M tokens
Output
$0.555
per 1M tokens
Context
128K
tokens
Providers
1
endpoint

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Cloudflare$0.351$0.555128K—100.0%

Reported evaluation leads (1)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
TIGER-Lab/MMLU-Pro
mmlu_pro
—66.8
Unpinned
not published
Reported
Quarantined

Other versions (1)

ModelCap Index · All-versions archive

Methodology
27.8
Measured on 2 public benchmarks
All-versions archive
#369 of 504
Score range
22.8–32.8
Rank range
#338–#401
Evidence as of
28 Oct 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 2 public benchmark observations across 2 boards
Index support
62.5% · strong
Identity binding
Exact catalogue product · mistralai/mistralai/mistral-small-3.1-24b-instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata mistralai/Mistral-Small-3.1-24B-Instruct-2503@68faf511d618ef198fef186659617cfd2eb8e33a (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
27.8
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
27.8
Evidence status
confirmed · 77% mass
General preference
27.3
Coding
32.0
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
3.5
Liquidity (providers × uptime)
98.7
Open reach (HF downloads)
90.6
Surface (context / tools / modalities)
60.0
Freshness
10.2
  • · OpenRouter popularity #276
  • · 1 live provider
  • · HF 30d downloads 169885
  • · Catalogue: context 128000, tools, modalities Text/Image
  • · First seen 2025-03-17

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
84.6
strong · 98% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
80.0
Evaluation provenance
53.1

Not yet published: pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
40.7
OpenRouter weekly popularity
#276 of 339

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#289 of 419
Rating
1302.6
95% confidence interval
1298–1307
Votes
33K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
3.5

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
98.7

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
90.6

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
10.2

Time since first public availability, on a six-month half-life.

Specification

Model ID
mistralai/mistral-small-3.1-24b-instruct
Context window
128K tokens
Declared output cap
102K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text, Image
Outputs
Text
Tokenizer
Mistral
Cached input tokens
Not offered
First seen on OpenRouter
17 Mar 2025
Knowledge cutoff
2023-10-31

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
apache-2.0
Pinned revision
68faf511d618
Parameters
24.0B
Architecture
Mistral3ForConditionalGeneration
Model type
mistral3
Hugging Face downloads (30d)
170K
Downloads (all time)
4.7M
Likes
1K
Repository updated
22 Dec 2025, 10:15 UTC

Benchmark leaderboards featuring Mistral Small 3.1 24B

All leaderboards
Public benchmark boards on which Mistral Small 3.1 24B has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)13031298–1307#289 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)13611353–1369#260 of 414Default28 Oct 2026

Mistral Small 3.1 24B: common questions

How does Mistral Small 3.1 24B rank among AI models?

Mistral Small 3.1 24B is a superseded version and is not on the current board as of 6 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does Mistral Small 3.1 24B cost per 1M tokens?

Mistral Small 3.1 24B is listed at $0.351 per 1M input tokens and $0.555 per 1M output tokens as of 6 November 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.979 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Mistral Small 3.1 24B?

Mistral Small 3.1 24B has a published context window of 128K tokens (128,000). The snapshot lists a 102,400 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is Mistral Small 3.1 24B open-weight?

Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is mistralai/Mistral-Small-3.1-24B-Instruct-2503 on Hugging Face.

Which API providers serve Mistral Small 3.1 24B?

One provider serves Mistral Small 3.1 24B through OpenRouter as of 6 November 2026: Cloudflare. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Mistral Small 3.1 24B been evaluated on?

Mistral Small 3.1 24B has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1303 (#289 of 419) and Arena coding 1361 (#260 of 414). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

When was Mistral Small 3.1 24B released?

Mistral Small 3.1 24B first appeared in the catalogue on 17 Mar 2025, with a published knowledge cutoff of 2023-10-31. It has since been superseded by Mistral Small 3.2 24B. Rank and price movements since then are recorded on the site's changes feed.