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ModelCap

Qwen3 Omni 30B A3B Instruct

Current board #92Official publisher releaseRestricted license

Qwen·Qwen/Qwen3-Omni-30B-A3B-Instruct

Qwen3 Omni 30B A3B Instruct is ModelCap current-board rank #92 with Index 47.5 (Modeled · peer benchmarks), from the ModelCap Index as of 13 Sept 2026, 14:40 UTC.

Qwen3 Omni 30B A3B Instruct weight access is restricted license, from ModelCap classification of published repository metadata as of 13 Sept 2026, 14:40 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
47.5#92
Estimated · 26% support · score interval 38.4–56.6
No admitted evaluation publication timestamp yet
Market Gravity
8.8
Secondary market signal

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

Input
Unlisted
no listed API price
Output
Unlisted
no listed API price
Context
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
47.5
Modeled · peer benchmarks · calibrated architecture-and-release-era fallback from static public metadata
Current board
#92
Public rank basis
Modeled · peer benchmarks (architecture)
Index support
26.0% · limited
Index interval
38.4–56.6
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 · qwen/Qwen/Qwen3-Omni-30B-A3B-Instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata Qwen/Qwen3-Omni-30B-A3B-Instruct@26291f793822fb6be9555850f06dfe95f2d7e695 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
47.5
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
47.5 ± 7.1
Independent share
0%
Shrink toward corpus
+0.3
Peer ceiling share
25%
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
publisher-corpus-prior over 186 held-out anchors
50.2 ± 22.110%
Launch card against resolved peers · not independent
launch card against 4 resolved peers on 4 rows
47.2 ± 7.590%
  • · Launch card row aime-25: claims above every resolved peer
  • · Launch card row bfcl-v-3: claims below every resolved peer
  • · Launch card row ifeval: claims below every resolved peer
  • · Launch card row mmlu-redux: inside the resolved peer range
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)
Liquidity (providers × uptime)
Open reach (HF downloads)
Surface (context / tools / modalities)
15.0
Freshness
25.5
  • · Catalogue: modalities Text/Image/Audio
  • · First seen 2025-09-20

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
43.6
24.9–62.3 uncertainty interval
Excluded from rank
Confidence
68%
Training support
192 models · 109 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
10.1 MAE

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

Deployment readiness

Metadata index
41.4
limited · 47% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
67.5
Deployability
8.0
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, accessLegalClarity.resolvable-license-terms, deployability.independent-provider-records, deployability.measured-provider-uptime, deployability.published-provider-pricing, deployability.declared-capacity, 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
8.8
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

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%
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%
50.0

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

Freshness5%
25.5

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

Specification

Context window
tokens
Max output
Inputs
Text, Image, Audio
Outputs
Text, Image, Audio
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
20 Sept 2025

Capabilities

  • Not supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.

Access
Restricted license
Licence
apache-2.0
Pinned revision
26291f793822
Parameters
35.3B
Architecture
Qwen3OmniMoeForConditionalGeneration
Model type
qwen3_omni_moe
Hugging Face downloads (30d)
Downloads (all time)
Likes
Repository updated
22 Sept 2025, 14:17 UTC

Metadata status: stale · HTTP 429.

Compare Qwen3 Omni 30B A3B Instruct with

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Benchmark leaderboards featuring Qwen3 Omni 30B A3B Instruct

All leaderboards
Public benchmark boards on which Qwen3 Omni 30B A3B Instruct has a published result
LeaderboardScoreSource rankConfigurationPublished
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis16.4%#371 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Qwen3 Omni 30B A3B Instruct":reasoning=false13 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis4.6%#454 of 605hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Qwen3 Omni 30B A3B Instruct":reasoning=false13 Sept 2026

Alternatives to Qwen3 Omni 30B A3B Instruct, by the numbers

Ranked neighbours

Models within 3 places of #92 on the ModelCap Index.

Other ranked Qwen models

The same publisher's other current models with a public Index position.

Qwen3 Omni 30B A3B Instruct: common questions

How does Qwen3 Omni 30B A3B Instruct rank among AI models?

Qwen3 Omni 30B A3B Instruct holds ModelCap Index position #92 of 187 ranked language models as of 13 September 2026, with an Index score of 47.5 (interval 38.4–56.6); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Qwen3 Omni 30B A3B Instruct cost per 1M tokens?

No live API price is listed for Qwen3 Omni 30B A3B Instruct in the current snapshot as of 13 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Qwen3 Omni 30B A3B Instruct open-weight?

Restricted license (apache-2.0). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is Qwen/Qwen3-Omni-30B-A3B-Instruct on Hugging Face.

Which benchmarks has Qwen3 Omni 30B A3B Instruct been evaluated on?

Qwen3 Omni 30B A3B Instruct has published results on 2 public boards tracked by ModelCap as of 13 September 2026: AA τ²-Bench Telecom 16.4% (#371 of 436) and AA Humanity's Last Exam 4.6% (#454 of 605). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does Qwen3 Omni 30B A3B Instruct compare with Ising Calibration 1 35B A3B?

Qwen3 Omni 30B A3B Instruct ranks #92 (Index 47.5) and Ising Calibration 1 35B A3B ranks #93 (Index 47.1) on the ModelCap Index as of 13 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Qwen3 Omni 30B A3B Instruct released?

Qwen3 Omni 30B A3B Instruct first appeared in the catalogue on 20 Sept 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.