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ModelCap

Qwen3 VL 30B A3B Instruct

Open weights

Qwen·qwen/qwen3-vl-30b-a3b-instruct

Qwen3 VL 30B A3B Instruct is a language model published by Qwen. 4 OpenRouter endpoints are published in the latest snapshot. It accepts text, image input and returns text. The published context limit is 262K tokens. The catalogue declares support for tool use, structured outputs.

ModelCap Index · Current board
—
Not scored · 0% support · score interval not available
Market Gravity
32.7
Secondary market signal
Input
$0.15
per 1M tokens
Output
$0.60
per 1M tokens
Context
262K
tokens
Providers
4
endpoints
Gateway spend
—
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Alibabafp8Cheapest$0.13$0.52131Kfp899.85%
DeepInfrafp8$0.15$0.60262Kfp899.49%
Novitabf16$0.20$0.70131Kbf1692.26%
SiliconFlowfp8$0.29$1.00262Kfp899.18%

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
deepinfra
live
$0.15$0.60262K412 ms38.5 tok/stools · structured
featherless-ai
live
——————

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 · qwen/qwen/qwen3-vl-30b-a3b-instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata Qwen/Qwen3-VL-30B-A3B-Instruct@9c4b90e1e4ba969fd3b5378b57d966d725f1b86c (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)
13.1
Liquidity (providers × uptime)
59.0
Open reach (HF downloads)
61.0
Surface (context / tools / modalities)
65.3
Freshness
31.3
  • · OpenRouter popularity #141
  • · 4 live providers
  • · HF 30d downloads 678519
  • · Catalogue: context 262144, tools, modalities Text/Image
  • · First seen 2025-10-06

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
48.6
33.9–63.2 uncertainty interval
Excluded from rank
Confidence
78%
Training support
156 models · 94 lineages
Out-of-domain check
in domain
Feature coverage
100%
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
74.5
partial · 76% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
96.5
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, 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
32.7
OpenRouter weekly popularity
#141 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%
13.1

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
59.0

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

Open reach15%
61.0

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

Freshness5%
31.3

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

Specification

Context window
262K tokens
Max output
16K tokens
Inputs
Text, Image
Outputs
Text
Tokenizer
Qwen3
Cached input tokens
Not offered
First seen on OpenRouter
6 Oct 2025
Knowledge cutoff
2025-03-31

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
9c4b90e1e4ba
Parameters
31.1B
Architecture
Qwen3VLMoeForConditionalGeneration
Model type
qwen3_vl_moe
Hugging Face downloads (30d)
679K
Downloads (all time)
17.2M
Likes
591
Repository
Qwen/Qwen3-VL-30B-A3B-Instruct
Repository updated
26 Nov 2025, 13:18 UTC