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ModelCap

Qwen3 4B Instruct 2507

Current board #91Open weights

Qwen·Qwen/Qwen3-4B-Instruct-2507

Qwen3 4B Instruct 2507 is a language model published by Qwen. The latest OpenRouter endpoint refresh was unavailable, so no current serving claim is made. It accepts text input and returns text. The published context limit is 262K tokens. The catalogue declares support for tool use.

ModelCap Index · Current board
19.8#91
Measured · 1% support · score interval 19.8–39.6
Market Gravity
15.9
Secondary market signal

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Free
per 1M tokens
Output
Free
per 1M tokens
Context
262K
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
nscale
live
$0.01$0.03262K570 ms125.9 tok/stools · structured
featherless-ai
live

Reported evaluation leads (2)

Excluded from score

Structured rows reported in this exact model repository at the pinned revision below. They are useful research leads, but remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
Idavidrein/gpqa
diamond
62
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
69.6
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
19.8
Measured · 1 public benchmark observation across 1 board
Current board
#91
Public rank basis
Measured (measured)
Index support
1.4% · weak
Index interval
19.8–39.6
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Identity binding
Exact catalogue product · qwen/Qwen/Qwen3-4B-Instruct-2507 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata Qwen/Qwen3-4B-Instruct-2507@cdbee75f17c01a7cc42f958dc650907174af0554 (not the evaluation revision)
Direct benchmark observations
1
Breadth-adjusted BES point estimate
29.7
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
47.9
Evidence status
provisional · 3% mass
General preference
Coding
Agents & tools
47.9
Reasoning
Evidence breadth
5%
Evidence coverage
1%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
Liquidity (providers × uptime)
Open reach (HF downloads)
97.6
Surface (context / tools / modalities)
50.3
Freshness
24.7
  • · HF 30d downloads 3081081
  • · Catalogue: context 262144, tools
  • · First seen 2025-08-05

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
69.7
partial · 88% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
57.3
Evaluation provenance
34.9

Missing: artifactReproducibility.base-lineage, deployability.measured-provider-uptime, 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
15.9
OpenRouter weekly popularity
Not listed

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%
0.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
0.0

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

Open reach15%
97.6

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

Freshness5%
24.7

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

Specification

Context window
262K tokens
Max output
Inputs
Text
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
5 Aug 2025

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Not 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
cdbee75f17c0
Parameters
4.0B
Architecture
Qwen3ForCausalLM
Model type
qwen3
Hugging Face downloads (30d)
3.1M
Downloads (all time)
56.0M
Likes
911
Repository updated
17 Sept 2025, 06:56 UTC