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ModelCap

Ministral 3 3B 2512

Open weights

Mistral AI·mistralai/ministral-3b-2512

Ministral 3 3B 2512 is a language model published by Mistral AI. 1 OpenRouter endpoint is published in the latest snapshot. It accepts text, image input and returns text. The published context limit is 131K tokens. The catalogue declares support for tool use, structured outputs.

ModelCap Index · Current board
—
Not scored · 0% support · score interval not available
Market Gravity
17.5
Secondary market signal
Input
$0.10
per 1M tokens
Output
$0.10
per 1M tokens
Context
131K
tokens
Providers
1
endpoint
Gateway spend
—
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Mistral$0.10$0.10131K—99.93%

ModelCap Index · Current board

Methodology
—
Not scored · excessive distance
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
Identity binding
Exact catalogue product · mistralai/mistralai/ministral-3b-2512/fp8 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata mistralai/Ministral-3-3B-Instruct-2512@b35d4dfe56c142746f54dbd64f579faab2744308 (not the evaluation revision)
Direct benchmark observations
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)
7.2
Liquidity (providers × uptime)
16.2
Open reach (HF downloads)
50.7
Surface (context / tools / modalities)
60.2
Freshness
38.8
  • · OpenRouter popularity #198
  • · 1 live provider
  • · HF 30d downloads 390685
  • · Catalogue: context 131072, tools, modalities Text/Image
  • · First seen 2025-12-02

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
43.5
26.9–60.1 uncertainty interval
Excluded from rank
Confidence
70%
Training support
156 models · 94 lineages
Out-of-domain check
in domain
Feature coverage
86%
Lineage-held-out error
9.1 MAE

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

Deployment readiness

Metadata index
72.4
partial · 80% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
74.7
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
17.5
OpenRouter weekly popularity
#198 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

Awaiting evaluation

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%
7.2

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
16.2

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

Open reach15%
50.7

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

Freshness5%
38.8

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

Specification

Context window
131K tokens
Max output
—
Inputs
Text, Image
Outputs
Text
Tokenizer
Mistral
Cached input tokens
$0.01 / 1M
First seen on OpenRouter
2 Dec 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
b35d4dfe56c1
Parameters
3.8B
Architecture
Mistral3ForConditionalGeneration
Model type
mistral3
Hugging Face downloads (30d)
391K
Downloads (all time)
3.5M
Likes
272
Repository
mistralai/Ministral-3-3B-Instruct-2512
Repository updated
15 Jul 2026, 12:21 UTC
Base lineage
mistralai/Ministral-3-3B-Base-2512