Skip to content
ModelCap

Mistral Small 3.2 24B

Current board #55Arena #182Open weights

Mistral AI·mistralai/mistral-small-3.2-24b-instruct

Mistral Small 3.2 24B is a language model published by Mistral AI. 3 OpenRouter endpoints are published in the latest snapshot. It accepts image, text input and returns text. The published context limit is 256K tokens. The catalogue declares support for tool use, structured outputs.

ModelCap Index · Current board
53.4#55
Measured · 81% support · score interval 53.4–60.4
Market Gravity
31.2
Secondary market signal
Input
$0.094
per 1M tokens
Output
$0.25
per 1M tokens
Context
256K
tokens
Providers
3
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
DeepInfrafp8Cheapest$0.075$0.20128Kfp897.88%
Venicefp8$0.094$0.25256Kfp898.63%
Parasailbf16$0.09$0.30131Kbf16

Other versions (1)

ModelCap Index · Current board

Methodology
53.4
Measured · 2 public benchmark observations across 2 boards
Current board
#55
Public rank basis
Measured (measured)
Index support
80.8% · strong
Index interval
53.4–60.4
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Identity binding
Exact catalogue product · mistralai/mistralai/mistral-small-3.2-24b-instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata mistralai/Mistral-Small-3.2-24B-Instruct-2506@95a6d26c4bfb886c58daf9d3f7332c857cb27b43 (not the evaluation revision)
Direct benchmark observations
2
Breadth-adjusted BES point estimate
56.9
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
56.9
Evidence status
confirmed · 82% mass
General preference
56.5
Coding
58.4
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
81%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
19.0
Liquidity (providers × uptime)
51.1
Open reach (HF downloads)
46.3
Surface (context / tools / modalities)
65.1
Freshness
20.7
  • · OpenRouter popularity #101
  • · 3 live providers
  • · HF 30d downloads 312176
  • · Catalogue: context 256000, tools, modalities Image/Text
  • · First seen 2025-06-20

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
90.1
strong · 98% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
99.7
Evaluation provenance
50.9

Missing: evaluationProvenance.evaluation-dataset-revisions.

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

Market activity

Venue coverage
Market Gravity
31.2
OpenRouter weekly popularity
#101 of 298

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
Arena
Official rank
#182 of 385
Rating
1357.6
95% confidence interval
1352–1363
Votes
18K
Source snapshot
6 Aug 2026, 13:00 UTC
Category
overall
Identity match confidence
98%

Market Gravity breakdown

Usage55%
19.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
51.1

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

Open reach15%
46.3

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

Freshness5%
20.7

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

Specification

Context window
256K tokens
Max output
16K tokens
Inputs
Image, Text
Outputs
Text
Tokenizer
Mistral
Cached input tokens
Not offered
First seen on OpenRouter
20 Jun 2025
Knowledge cutoff
2023-10-31

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • 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
95a6d26c4bfb
Parameters
24.0B
Architecture
Mistral3ForConditionalGeneration
Model type
mistral3
Hugging Face downloads (30d)
312K
Downloads (all time)
5.1M
Likes
602
Repository updated
22 Dec 2025, 10:16 UTC