Language modelActive

Qwen 3 VL 235B A22B Thinking

Alibaba

Released: September 22, 2025
Data date: September 8, 2026

Benchmark-Meta-Score: Unavailable
Fewer than eight test series
Speed: 55.8 tokens/s
Output throughput
Price: No current rate
Historical rates under Costs
Input: Text, Image, Video
Output: Text

Qwen 3 VL 235B A22B Thinking is the large reasoning checkpoint in the Qwen3-VL family. It combines text, image, and video understanding with a trained thinking mode. Its Mixture-of-Experts architecture contains 235 billion parameters but activates 22 billion per token. The technical report gives it a 256K context for interleaved text, image, and video inputs.

Qwen3 VL 235B A22B Instruct is a separate checkpoint for direct answers without this Thinking variant’s reasoning trace.

Specifications and access

Specification	Value and source
Weights	Open weightsSource
Access	LocalSource
Parameters	235BSource
Active parameters	22BSource
Context window	262,144 tokensSource
Weights repository	Qwen/Qwen3-VL-235B-A22B-ThinkingSource
License	Apache-2.0Source
Architecture	vision encoder + MLP vision-language merger + Qwen3 language model; dense or MoESource
Input	Text, Image, VideoSource
Output	TextSource
Reasoning mode	thinkingSource
Tool calling	YesSource
Structured output	YesSource
Native context window	262,144 tokensSource
Maximum context window	262,144 tokensSource
Parameters	235 BSource
Active parameters	22 BSource
Languages	39 languages testedSource
Repository created	2025-09-22 (Repository creation date is a precise publication proxy, but may differ from the public announcement date or an individual checkpoint's first availability.)Source

Benchmark meta-analysis

Overall and area scores

These Gradually indexes place selected published measurements on a 0 to 100 scale. They are not accuracy percentages and do not guarantee results in your application.

Retrieval dates of the sources used 2026-10-19 - 2026-10-19

Overall index

Not enough independent results for a score yet

An overall score needs at least eight test series.

provisional

Published configurations differ within this comparison cohort. Treat the index as provisional.

Test series: 2
Test families: 2 / 65
Sources: 1
Share of the fixed test panel (informative): 3 %

General

Index below 1 / 100

provisional

Published configurations differ within this comparison cohort. Treat the index as provisional.

Standard error: ± 0.1
95% interval: 0.0 to 0.6
Test series: 1
Test families: 1 / 5
Sources: 1
Share of the fixed test panel (informative): 20 %

Multimodal

Index below 1 / 100

provisional

Published configurations differ within this comparison cohort. Treat the index as provisional.

Standard error: ± 0.2
95% interval: 0.1 to 0.9
Test series: 1
Test families: 1 / 4
Sources: 1
Share of the fixed test panel (informative): 13 %

Documented method · Included test families and measurements

Method version: benchmark-meta-score-v3

The index includes active measurements from reviewed primary sources when at least five models are compared in the same documented comparison slice across dataset, harness, agent, tools, and trial count. Each benchmark series and evaluator contributes one shared setup slice from the newest capture. When one source and series include several explicitly documented reasoning tiers, the highest documented tier (none through max) is selected, never the best result value. The explicit source label “Non-reasoning” is treated as none. Unknown or ambiguous tiers exclude the model from that series. Within each series, percentages and rates are logit-transformed, other units stay unchanged, and all values are then standardized. A one-factor model then estimates one shared strength per model and, per series, how sharply it separates the models. Area scores move away from that strength only as far as the model's own results in the area support. The overall score weights the core areas at 75% and finance, law and health at 25%. It requires at least eight test series from two sources and three areas. The 0 to 100 scale refers to a fixed reference group of 29 language models whose average sits at 50.

Published model-specific parameters can differ. This is not a controlled experiment; comparisons with such differences are marked provisional.

Unmeasured series are not entered as zero. Where a model has no own results in a core area, its overall strength stands in, and the note “estimated without own results in …” names the area. Fewer test series lead to a larger standard error.

The 95% interval follows from the standard error of 200 recalculations with randomly redrawn test families. It describes how precisely the recorded test series determine the value. It is no prediction for future tasks or for later recalculations with other participants.

The source count is not a count of independent experiments.

OECD handbook on composite indicators

All 2 test families and 2 of 2 raw measurements are listed here. The complete calculation for every model is available in the JSON export.

Test family: IFBench
General · Mean rank percentile of the family: 44.9 / 100
Family weight in the fixed test panel (informative): 2.14 % · Coverage of this test family: 100 %
- Artificial Analysis
  Published configurations differ within this cohort.
  Measurement:
  artificial-analysis-ifbench
  Series weight within the test family:
  100 %
  Nominal contribution to the overall panel:
  2.14 %
  Raw value:
  56.4625850340136 %
  Metric:
  IFBench prompt-level loose accuracy (pass@1)
  Version:
  AA test set: 294 questions
  Participating models:
  70
  Rank percentile within the cohort:
  44.9 %
  Retrieved:
  2026-10-19
  Comparison cohort:
  artificial-analysis-ifbench:AA test set: 294 questions:standalone:reasoning:tokens=2000:suffix=unspecified
  Documented comparison setup
  Publication cohort:
  ["artificial-analysis-ifbench","AA test set: 294 questions","aa-model-page-2026-10-19-8a022369738c"]
  Dataset type:
  artificial-analysis-evaluation
  Tool policy:
  Single-turn answer evaluated with the official IFBench source code
  Attempts:
  pass@1, 5 repeats per question
  Setup and model parameters
  Exact AA configuration: Qwen3 VL 235B A22B (Reasoning) (release qwen3-vl-235b-a22b, row qwen3-vl-235b-a22b-reasoning, UUID a803d3d0-d22e-49a0-ac2c-b9c6f1141065, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled
  Exact AA configuration: Qwen3 VL 235B A22B (Reasoning) (release qwen3-vl-235b-a22b, row qwen3-vl-235b-a22b-reasoning, UUID a803d3d0-d22e-49a0-ac2c-b9c6f1141065, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/a803d3d0-d22e-49a0-ac2c-b9c6f1141065/qwen3-vl-235b-a22b/qwen3-vl-235b-a22b-reasoning. Source model name: Qwen 3 VL 235B A22B Thinking. Provider reported by source: Alibaba. Model snapshot: Qwen3 VL 235B A22B (Reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled. Score display: 56.5%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-19-8a022369738c. Source payload hash: 8a022369738cbe2a0e2f9bf486a2882865dbb0c6f1396dfec84059a802560e3c. Parser version: artificial-analysis-rsc-models-v2. Imported at: 2026-10-19
Test family: MMMU-Pro
Multimodal · Mean rank percentile of the family: 28.6 / 100
Family weight in the fixed test panel (informative): 2.68 % · Coverage of this test family: 50 %
- Artificial Analysis
  Published configurations differ within this cohort.
  Measurement:
  artificial-analysis-mmmu-pro
  Series weight within the test family:
  50 %
  Nominal contribution to the overall panel:
  1.34 %
  Raw value:
  68.728323699422 %
  Metric:
  pass@1 accuracy
  Version:
  AA cohort: 1,730 questions
  Participating models:
  57
  Rank percentile within the cohort:
  28.6 %
  Retrieved:
  2026-10-19
  Comparison cohort:
  artificial-analysis-mmmu-pro:AA cohort: 1,730 questions:standalone:reasoning:tokens=2000:suffix=unspecified
  Documented comparison setup
  Publication cohort:
  ["artificial-analysis-mmmu-pro","AA cohort: 1,730 questions","aa-model-page-2026-10-19-8a022369738c"]
  Dataset type:
  artificial-analysis-evaluation
  Tool policy:
  Ten-option multiple choice; regex answer extraction
  Attempts:
  pass@1, one run per question
  Setup and model parameters
  Exact AA configuration: Qwen3 VL 235B A22B (Reasoning) (release qwen3-vl-235b-a22b, row qwen3-vl-235b-a22b-reasoning, UUID a803d3d0-d22e-49a0-ac2c-b9c6f1141065, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.. Tool policy: Ten-option multiple choice; regex answer extraction. Attempts: pass@1, one run per question. Reasoning: reasoning enabled
  Exact AA configuration: Qwen3 VL 235B A22B (Reasoning) (release qwen3-vl-235b-a22b, row qwen3-vl-235b-a22b-reasoning, UUID a803d3d0-d22e-49a0-ac2c-b9c6f1141065, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.. Source model ID: artificial-analysis/a803d3d0-d22e-49a0-ac2c-b9c6f1141065/qwen3-vl-235b-a22b/qwen3-vl-235b-a22b-reasoning. Source model name: Qwen 3 VL 235B A22B Thinking. Provider reported by source: Alibaba. Model snapshot: Qwen3 VL 235B A22B (Reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Ten-option multiple choice; regex answer extraction. Attempts: pass@1, one run per question. Reasoning: reasoning enabled. Score display: 68.7%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-19-8a022369738c. Source payload hash: 8a022369738cbe2a0e2f9bf486a2882865dbb0c6f1396dfec84059a802560e3c. Parser version: artificial-analysis-rsc-models-v2. Imported at: 2026-10-19

Benchmark sources at a glance

Each evaluator measures different capabilities under its own conditions. Test series, composite indices and their components stay separate. The detailed results below retain their scales, configurations and source dates.

Evaluator	Test series	Composite indices	Recorded active measurements
Artificial Analysis	3	0	10

Coverage is not a quality ranking. Overlapping tests and multiple settings do not count as independent experiments. Vendor claims, historical and disputed results are excluded from this overview and remain labelled in the detailed evidence.

6 measurements from these sources still lack a verified test-family identity and do not increase the test-series count.

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

IFBench: Overall (Show measurement, test conditions, and source)

Source value: 56.4625850340136
Score: 56.4625850340136
Metric: IFBench prompt-level loose accuracy (pass@1)
Unit: %
Benchmark version: AA test set: 294 questions
Category: general
Task: overall
Task label: Overall
Direction: Higher is better
Comparison cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:reasoning:tokens=2000:suffix=unspecified
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-10-19
Methodology: Exact AA configuration: Qwen3 VL 235B A22B (Reasoning) (release qwen3-vl-235b-a22b, row qwen3-vl-235b-a22b-reasoning, UUID a803d3d0-d22e-49a0-ac2c-b9c6f1141065, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/a803d3d0-d22e-49a0-ac2c-b9c6f1141065/qwen3-vl-235b-a22b/qwen3-vl-235b-a22b-reasoning. Source model name: Qwen 3 VL 235B A22B Thinking. Provider reported by source: Alibaba. Model snapshot: Qwen3 VL 235B A22B (Reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled. Score display: 56.5%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-19-8a022369738c. Source payload hash: 8a022369738cbe2a0e2f9bf486a2882865dbb0c6f1396dfec84059a802560e3c. Parser version: artificial-analysis-rsc-models-v2. Imported at: 2026-10-19
Comparison methodology: Exact AA configuration: Qwen3 VL 235B A22B (Reasoning) (release qwen3-vl-235b-a22b, row qwen3-vl-235b-a22b-reasoning, UUID a803d3d0-d22e-49a0-ac2c-b9c6f1141065, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled
Context: The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.

Source Artificial Analysis

MMMU-Pro: Overall (Show measurement, test conditions, and source)

Source value: 68.728323699422
Score: 68.728323699422
Metric: pass@1 accuracy
Unit: %
Benchmark version: AA cohort: 1,730 questions
Category: multimodal
Task: overall
Task label: Overall
Direction: Higher is better
Comparison cohort: artificial-analysis-mmmu-pro:AA cohort: 1,730 questions:standalone:reasoning:tokens=2000:suffix=unspecified
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-10-19
Methodology: Exact AA configuration: Qwen3 VL 235B A22B (Reasoning) (release qwen3-vl-235b-a22b, row qwen3-vl-235b-a22b-reasoning, UUID a803d3d0-d22e-49a0-ac2c-b9c6f1141065, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.. Source model ID: artificial-analysis/a803d3d0-d22e-49a0-ac2c-b9c6f1141065/qwen3-vl-235b-a22b/qwen3-vl-235b-a22b-reasoning. Source model name: Qwen 3 VL 235B A22B Thinking. Provider reported by source: Alibaba. Model snapshot: Qwen3 VL 235B A22B (Reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Ten-option multiple choice; regex answer extraction. Attempts: pass@1, one run per question. Reasoning: reasoning enabled. Score display: 68.7%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-19-8a022369738c. Source payload hash: 8a022369738cbe2a0e2f9bf486a2882865dbb0c6f1396dfec84059a802560e3c. Parser version: artificial-analysis-rsc-models-v2. Imported at: 2026-10-19
Comparison methodology: Exact AA configuration: Qwen3 VL 235B A22B (Reasoning) (release qwen3-vl-235b-a22b, row qwen3-vl-235b-a22b-reasoning, UUID a803d3d0-d22e-49a0-ac2c-b9c6f1141065, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.. Tool policy: Ten-option multiple choice; regex answer extraction. Attempts: pass@1, one run per question. Reasoning: reasoning enabled
Context: The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run.

Source Artificial Analysis

AA-Omniscience Accuracy: Overall (Show measurement, test conditions, and source)

Source value: 20.849999999999998
Score: 20.849999999999998
Metric: AA-Omniscience Accuracy
Unit: %
Benchmark version: AA Omniscience diagnostic
Category: knowledge
Task: overall
Task label: Overall
Direction: Higher is better
Comparison cohort: artificial-analysis-omniscience-accuracy:AA Omniscience diagnostic:standalone:reasoning:tokens=2000:suffix=unspecified
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-10-19
Methodology: Exact AA configuration: Qwen3 VL 235B A22B (Reasoning) (release qwen3-vl-235b-a22b, row qwen3-vl-235b-a22b-reasoning, UUID a803d3d0-d22e-49a0-ac2c-b9c6f1141065, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Source model ID: artificial-analysis/a803d3d0-d22e-49a0-ac2c-b9c6f1141065/qwen3-vl-235b-a22b/qwen3-vl-235b-a22b-reasoning. Source model name: Qwen 3 VL 235B A22B Thinking. Provider reported by source: Alibaba. Model snapshot: Qwen3 VL 235B A22B (Reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled. Score display: 20.8%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-19-8a022369738c. Source payload hash: 8a022369738cbe2a0e2f9bf486a2882865dbb0c6f1396dfec84059a802560e3c. Parser version: artificial-analysis-rsc-models-v2. Imported at: 2026-10-19
Comparison methodology: Exact AA configuration: Qwen3 VL 235B A22B (Reasoning) (release qwen3-vl-235b-a22b, row qwen3-vl-235b-a22b-reasoning, UUID a803d3d0-d22e-49a0-ac2c-b9c6f1141065, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled
Context: This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.

Source Artificial Analysis

AA-Omniscience Hallucination Rate: Overall (Show measurement, test conditions, and source)

Source value: 85.15476942514213
Score: 85.15476942514213
Metric: AA-Omniscience Hallucination Rate
Unit: %
Benchmark version: AA Omniscience diagnostic
Category: knowledge
Task: overall
Task label: Overall
Direction: Lower is better
Comparison cohort: artificial-analysis-omniscience-hallucination-rate:AA Omniscience diagnostic:standalone:reasoning:tokens=2000:suffix=unspecified
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-10-19
Methodology: Exact AA configuration: Qwen3 VL 235B A22B (Reasoning) (release qwen3-vl-235b-a22b, row qwen3-vl-235b-a22b-reasoning, UUID a803d3d0-d22e-49a0-ac2c-b9c6f1141065, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).. Source model ID: artificial-analysis/a803d3d0-d22e-49a0-ac2c-b9c6f1141065/qwen3-vl-235b-a22b/qwen3-vl-235b-a22b-reasoning. Source model name: Qwen 3 VL 235B A22B Thinking. Provider reported by source: Alibaba. Model snapshot: Qwen3 VL 235B A22B (Reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled. Score display: 85.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-19-8a022369738c. Source payload hash: 8a022369738cbe2a0e2f9bf486a2882865dbb0c6f1396dfec84059a802560e3c. Parser version: artificial-analysis-rsc-models-v2. Imported at: 2026-10-19
Comparison methodology: Exact AA configuration: Qwen3 VL 235B A22B (Reasoning) (release qwen3-vl-235b-a22b, row qwen3-vl-235b-a22b-reasoning, UUID a803d3d0-d22e-49a0-ac2c-b9c6f1141065, reasoning=true, source reasoning-token configuration budget=2000, suffix=not specified). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled
Context: This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better.

Source Artificial Analysis

MMMU (Show measurement, test conditions, and source)

Source value: 80.6
Score: 80.6
Metric: percent
Unit: %
Category: visual
Direction: Higher is better
Source type: vendor-reported
Evaluator: Qwen3-VL Technical Report
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Exact model column; report evaluates thinking/instruct variants separately

Source Qwen3-VL Technical Report

MMMU-Pro (Show measurement, test conditions, and source)

Source value: 69.3
Score: 69.3
Metric: percent
Unit: %
Category: visual
Direction: Higher is better
Source type: vendor-reported
Evaluator: Qwen3-VL Technical Report
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Exact model column; report evaluates thinking/instruct variants separately

Source Qwen3-VL Technical Report

MathVision (Show measurement, test conditions, and source)

Source value: 74.6
Score: 74.6
Metric: percent
Unit: %
Category: visual
Direction: Higher is better
Source type: vendor-reported
Evaluator: Qwen3-VL Technical Report
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Exact model column; report evaluates thinking/instruct variants separately

Source Qwen3-VL Technical Report

DocVQA test (Show measurement, test conditions, and source)

Source value: 96.5
Score: 96.5
Metric: percent
Unit: %
Category: document
Direction: Higher is better
Source type: vendor-reported
Evaluator: Qwen3-VL Technical Report
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Exact model column; report evaluates thinking/instruct variants separately

Source Qwen3-VL Technical Report

VideoMME w/o subtitles (Show measurement, test conditions, and source)

Source value: 79
Score: 79
Metric: percent
Unit: %
Category: video
Direction: Higher is better
Source type: vendor-reported
Evaluator: Qwen3-VL Technical Report
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Exact model column; report evaluates thinking/instruct variants separately

Source Qwen3-VL Technical Report

OCRBench (Show measurement, test conditions, and source)

Source value: 875
Score: 875
Metric: points
Unit: points
Category: document
Direction: Higher is better
Source type: vendor-reported
Evaluator: Qwen3-VL Technical Report
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. Exact model column; report evaluates thinking/instruct variants separately

Source Qwen3-VL Technical Report

Output speed (Show measurement, test conditions, and source)

Source value: 55.8351013442385
Score: 55.8351013442385
Metric: tokens/s
Unit: tokens/s
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. Reasoning; default 10K-input workload only
Context: Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: first-party API. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.

Source Artificial Analysis

Latency reasoning time (Show measurement, test conditions, and source)

Source value: 35.819761258593566
Score: 35.819761258593566
Metric: seconds
Unit: seconds
Direction: Lower is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-09-08
Methodology: Independent evaluation. Reasoning; default 10K-input workload only
Context: Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: first-party API. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.

Source Artificial Analysis

Page 1 of 2

Sources and data date

Type	Evidence and data date
Speed	Alibaba, Reasoning. Output speed after the first streaming chunk, not total response time. Classified as deprecated by Artificial Analysis. Artificial Analysis maintains only the default 10K-input workload there. Retrieved September 8, 2026. Source: Artificial Analysis · Artificial Analysis (retrieved September 8, 2026)Speed measurement methodology
Input	Documented modalities. Retrieved September 8, 2026. Source: Model documentation · Model metadata (retrieved September 8, 2026) · Qwen3-VL-235B-A22B-Thinking model card · Editorial description reviewed October 2, 2026
Output	Documented modalities. Retrieved September 8, 2026. Source: Model documentation · Model metadata (retrieved September 8, 2026) · Qwen3-VL-235B-A22B-Thinking model card · Editorial description reviewed October 2, 2026
Research status	Research date September 8, 2026. 4 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Additional source	API pricing
Additional source	Artificial Analysis (retrieved October 19, 2026)
Additional source	Artificial Analysis (retrieved October 19, 2026)
Additional source	Artificial Analysis (retrieved October 19, 2026)
Additional source	Qwen3-VL Technical Report (retrieved September 8, 2026) · Qwen3-VL Technical Report · Editorial description reviewed October 2, 2026
Additional source	Model metadata (retrieved September 8, 2026)
Additional source	OpenRouter: Popularity index (derived), CC BY 4.0
Additional source	Vercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional source	Ollama: cumulative downloads for the popularity index
Additional source	Replicate: cumulative runs for the popularity index
Additional source	Google Trending Now: limited feed selection for Germany and the US
Additional source	Creative Commons Attribution 4.0

Qwen 3 VL 235B A22B Thinking

Specifications and access

Overall and area scores

Overall index

General

Multimodal

Test family: IFBench

Test family: MMMU-Pro

Benchmark sources at a glance

Measurements without matching peer values

Our tests

SVG short test

Qwen 3 VL 235B A22B Thinking

Pelican on a bicycle

Popularity

Published prices

Sources and data date