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ModelCap

Voxtral Small 24B 2507

Official publisher releaseOpen weights

Mistral AI·mistralai/voxtral-small-24b-2507

Voxtral Small 24B 2507 listed OpenRouter input price is $0.10 per 1M tokens and listed output price is $0.30 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Voxtral Small 24B 2507 has a published context limit of 33K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Voxtral Small 24B 2507 has 3 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Voxtral Small 24B 2507 weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
Not scored · 0% support · score interval not available
Market Gravity
15.5Increased by 0.1
Secondary market signal
Input
$0.10
per 1M tokens
Output
$0.30
per 1M tokens
Context
33K
tokens
Providers
3
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
MistralzdrCheapest$0.10$0.3033K
Mistral$0.10$0.3032K
Mistraleu$0.11$0.3332K

Reported evaluation leads (10)

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
hf-audio/open-asr-leaderboard
mean_wer
6.62
Unpinned
not published
Reported
Quarantined
hf-audio/open-asr-leaderboard
rtfx
54.09
Unpinned
not published
Reported
Quarantined
hf-audio/open-asr-leaderboard
ami_wer
15.27
Unpinned
not published
Reported
Quarantined
hf-audio/open-asr-leaderboard
earnings22_wer
10.5
Unpinned
not published
Reported
Quarantined
hf-audio/open-asr-leaderboard
gigaspeech_wer
9.81
Unpinned
not published
Reported
Quarantined
hf-audio/open-asr-leaderboard
librispeech_clean_wer
1.59
Unpinned
not published
Reported
Quarantined
hf-audio/open-asr-leaderboard
librispeech_other_wer
3.26
Unpinned
not published
Reported
Quarantined
hf-audio/open-asr-leaderboard
spgispeech_wer
2.02
Unpinned
not published
Reported
Quarantined
hf-audio/open-asr-leaderboard
tedlium_wer
3.52
Unpinned
not published
Reported
Quarantined
hf-audio/open-asr-leaderboard
voxpopuli_wer
6.96
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
Not scored · card unreadable
Public rank basis
Not scored (abstained)
Index support
0.0% · not applicable
Index interval
Not available
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · mistralai/mistralai/voxtral-small-24b-2507 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata mistralai/Voxtral-Small-24B-2507@da5b42409f279fdd92febee0511a6c32828569c1 (not the evaluation revision)
Index observations used
0
Architecture fallback
abstained · 0% coverage · 0 anchors
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
Evidence status
No admitted measured evidence
General preference
Coding
Agents & tools
Reasoning
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
6.9
Liquidity (providers × uptime)
20.3
Open reach (HF downloads)
34.5
Surface (context / tools / modalities)
50.1
Freshness
28.8
  • · OpenRouter popularity #216
  • · 1 live provider
  • · HF 30d downloads 49925
  • · Catalogue: context 32768, tools, modalities Text/Audio/File
  • · First seen 2025-10-30

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

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.

Experimental capability estimate

Estimate policy
21.5
5.2–37.8 uncertainty interval
Excluded from rank
Confidence
74%
Training support
209 models · 120 lineages
Out-of-domain check
in domain
Feature coverage
100%
Lineage-held-out error
10.0 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
74.0
partial · 80% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
79.9
Evaluation provenance
0.0

Missing: evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, 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
15.5
OpenRouter weekly popularity
#216 of 322

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

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
6.9

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
20.3

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

Open reach15%
34.5

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

Freshness5%
28.8

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

Specification

Context window
33K tokens
Max output
26K tokens
Inputs
Text, Audio, File
Outputs
Text
Tokenizer
Mistral
Cached input tokens
$0.01 / 1M
First seen on OpenRouter
30 Oct 2025

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
da5b42409f27
Parameters
24.3B
Architecture
VoxtralForConditionalGeneration
Model type
voxtral
Hugging Face downloads (30d)
50K
Downloads (all time)
971K
Likes
525
Repository updated
20 Dec 2025, 23:34 UTC

Voxtral Small 24B 2507: common questions

How does Voxtral Small 24B 2507 rank among AI models?

Voxtral Small 24B 2507 has no public ModelCap Index position as of 22 September 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.

How much does Voxtral Small 24B 2507 cost per 1M tokens?

Voxtral Small 24B 2507 is listed at $0.10 per 1M input tokens and $0.30 per 1M output tokens as of 22 September 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 $0.35 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 Voxtral Small 24B 2507?

Voxtral Small 24B 2507 has a published context window of 33K tokens (32,768) and a maximum output of 26K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Voxtral Small 24B 2507 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/Voxtral-Small-24B-2507 on Hugging Face.

Which API providers serve Voxtral Small 24B 2507?

One provider serves Voxtral Small 24B 2507 through OpenRouter as of 22 September 2026: Mistral. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

When was Voxtral Small 24B 2507 released?

Voxtral Small 24B 2507 first appeared in the catalogue on 30 Oct 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.