Qwen3 VL 30B A3B Instruct
Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...
Updated 6 h ago · first seen 11 Sept 2026
model_01M294WWAS1A069CEWSE9M3Z41
Overview
Identity
- Canonical model
- Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
- Official checkpoints
- official_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
- Artifacts
- None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
- Provider deployments
- 1
- API aliases
- qwen/qwen3-vl-30b-a3b-instructqwen3-vl-30b-a3b-instructqwen3-vl-30b-a3b-reasoningIdentifiers under which providers and evaluators refer to this model.
- Folded evaluation variants
- 1Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.
Openness
Open weights— weights downloadable; 7 dimensions unknown.
Weights downloadable under a permissive or Creative Commons licence allowing commercial use; code or data may be missing.
Weights
Yes
Inference code
—
Training code
—
Training data
—
Dataset
—
Commercial use
—
Redistribution
—
Derivatives
—
dimensions marked null are unknown, not false
Key facts
- Release date
Source:OpenRouter public model & pricing listingT2observed 5 d agomedium
- Status
Source:Artificial AnalysisT2observed 5 d agomedium
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 5 d agomedium
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 5 d agomedium
Architecture
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 5 d agomedium
- Hugging Face repo
Source:OpenRouter public model & pricing listingT2observed 5 d agomedium
Capabilities
Modalities
- Modalities
- imagetext
- Input
- imagetext
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
No
Artificial Analysis · T2
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 5 d agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 11 h agomedium
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 5 d agomedium
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 5 d agomedium
Benchmarks28
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 28 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →
Providers & Pricing1
All offers in the price terminal →USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →
Price history
Output price · USD / 1M tokens 1 provider
- OpenRouter
- OpenRouter$0.52 → $0.6016 Sept 2026
- OpenRouter$0.60 → $0.5216 Sept 2026
- OpenRouterfirst observed $0.6011 Sept 2026
Input price · USD / 1M tokens 1 provider
- OpenRouter
- OpenRouter$0.13 → $0.1516 Sept 2026
- OpenRouter$0.15 → $0.1316 Sept 2026
- OpenRouterfirst observed $0.1511 Sept 2026
Versions & Artifacts0
Version history
Context window2 changes
11 Sept 2026→11 Sept 2026→12 Sept 2026current
Max output2 changes
11 Sept 2026→16 Sept 2026→16 Sept 2026current
Knowledge cutofffirst observation only
11 Sept 2026current
Opennessfirst observation only
11 Sept 2026current
Statusfirst observation only
11 Sept 2026current
Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.
Artifacts 0
No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.
Timeline20
Full timeline →OpenRouter changed pricing for Qwen3 VL 30B A3B Instruct: $0.13 in / $0.52 out per 1M tokens → $0.15 in / $0.6 out per 1M tokens
$0.13 in / $0.52 out→$0.15 in / $0.60 outopenrouterQwen3 VL 30B A3B Instruct: max output tokens changed from 32768 to 16384
Max output32.8K tokens→16.4K tokensopenrouterOpenRouter changed pricing for Qwen3 VL 30B A3B Instruct: $0.15 in / $0.6 out per 1M tokens → $0.13 in / $0.52 out per 1M tokens
$0.15 in / $0.60 out→$0.13 in / $0.52 outopenrouterQwen3 VL 30B A3B Instruct: max output tokens changed from 16384 to 32768
Max output16.4K tokens→32.8K tokensopenrouterQwen3 VL 30B A3B Instruct: reasoning changed from true to false
ReasoningYes→Noartificial_analysisQwen3 VL 30B A3B Instruct scores 6.06% on Terminal-Bench
artificial_analysisQwen3 VL 30B A3B Instruct scores 19.01% on τ²-bench
artificial_analysisQwen3 VL 30B A3B Instruct scores 62.14% on MMMU-Pro
artificial_analysisQwen3 VL 30B A3B Instruct scores 33.13% on IFBench
artificial_analysisQwen3 VL 30B A3B Instruct scores 6.3% on Humanity's Last Exam
artificial_analysisQwen3 VL 30B A3B Instruct scores 69.49% on GPQA Diamond
artificial_analysisQwen3 VL 30B A3B Instruct scores 7.93 on Artificial Analysis Intelligence Index
artificial_analysisQwen3 VL 30B A3B Instruct scores 5.3% on Terminal-Bench
artificial_analysisQwen3 VL 30B A3B Instruct scores 19.88% on τ²-bench
artificial_analysisQwen3 VL 30B A3B Instruct scores 61.85% on MMMU-Pro
artificial_analysisQwen3 VL 30B A3B Instruct scores 45.1% on IFBench
artificial_analysisQwen3 VL 30B A3B Instruct scores 8.94% on Humanity's Last Exam
artificial_analysisQwen3 VL 30B A3B Instruct scores 72.02% on GPQA Diamond
artificial_analysisQwen3 VL 30B A3B Instruct scores 9.45 on Artificial Analysis Intelligence Index
artificial_analysisQwen3 VL 30B A3B Instruct: context length changed from 256000 to 262144
Context window256K tokens→262.1K tokensopenrouter
Change history42
Viewing AI Atlas as of 16 Mar 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →Qwen3 VL 30B A3B Instruct was not yet in AI Atlas on 16 Mar 2026
Release daterelease_date1
Statusstatus2
Opennessopenness2
Context windowcontext_length4
Max outputmax_output_tokens3
Knowledge cutoffknowledge_cutoff1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Tokenizertokenizer1
Hugging Face repohf_repo1
Aa context windowaa_context_window1
Aa deprecatedaa_deprecated1
Aa opennessaa_openness1
Descriptiondescription1
Aa median output tokens per secondmetric.aa_median_output_tokens_per_second10
Openrouter idopenrouter_id1
Openrouter listed atopenrouter_listed_at1
Reasoningreasoning3
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
Visionvision1
Weights availableweights_available1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
25
Source tiers
T225
Freshest observation
6 h ago
Conflicts
None
Source documents 2
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (60/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →