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Qwen3 VL 235B A22B Instruct

AlibabaQwenOpen WeightApache 2.0 · Commercial OK

Description

Qwen3-VL is a large multimodal model that unifies vision, language, and reasoning to achieve human-level perception and cognition across text, images, and video. Built on a 235B-parameter architecture, it integrates early joint training of visual and textual modalities for strong language grounding. The model supports up to a 1 million-token context window and excels at visual understanding, spatial reasoning, long video comprehension, and tool-based interaction. It can generate code from images, perform precise 2D/3D object grounding, and operate digital interfaces like a visual agent. The “Instruct” version rivals Gemini 2.5 Pro in perception benchmarks, while the “Thinking” version leads in multimodal reasoning and STEM tasks. With multilingual OCR, creative writing, and fine-grained scene interpretation, Qwen3-VL establishes a new open-source frontier for integrated vision-language intelligence.

Release Date
2025-09-23
Parameters
236.0B
Context Length
262K
Modalities
image, text, video

Capability Radar

34
general
54
coding
71
reasoning
46
science
70
agents
90
multimodal

Rankings

Domain#RankScoreSource
Agentic Capability60
50.0
LS
Code Ranking302
38.0
AA
General Ranking302
43.0
AA
Multimodal Ranking15
63.0
LS
Science280
47.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

3d

BLINK70.7%SR

Agents

BFCL-v367.7%SR
OSWorld66.7%SR
AndroidWorld_SR63.7%SR

Chemistry

SuperGPQA60.4%SR

Communication

MM-MT-Bench8.50 / 100SR
WritingBench85.5%SR
Multi-IF76.3%SR

Creativity

Creative Writing v386.5%SR
Arena-Hard v277.4%SR

Factuality

SimpleQA51.9%SR

Finance

MMLU88.8%SR
MMLU-Pro81.8%SR
MMLU-ProX77.8%SR

General

MMLU-Redux92.2%SR
IFEvalGoogle Research (2023)87.8%SR
MultiPL-E86.1%SR
CSimpleQA83.4%SR
Include80.0%SR
MMMUval78.7%SR
MMStar78.4%SR
LiveBench 2024112574.8%SR
MMMU-Pro68.1%SR
LiveCodeBench v561.4%SR
LiveCodeBench v654.3%SR

Grounding

ScreenSpot95.4%SR
ScreenSpot Pro62.0%SR

Healthcare

VideoMMMU74.7%SR

Image To Text

OCRBench92.0%SR
OCRBench-V2 (en)67.1%SR
OCRBench-V2 (zh)61.8%SR

Language

CharadesSTA64.8%SR

Long Context

MLVU84.3%SR
LVBench67.7%SR

Math

MathVista-Mini84.9%SR
AIME 202574.7%SR
MathVision66.5%SR
HMMT2557.4%SR

Multimodal

DocVQAtest97.1%SR
MMBench-V1.189.9%SR
AI2D89.7%SR
InfoVQAtest89.2%SR
CC-OCR82.2%SR
VideoMME w/o sub.79.2%SR
MuirBench72.8%SR
CharXiv-R62.1%SR

Reasoning

Hallusion Bench63.2%SR
ERQA51.3%SR

Spatial Reasoning

RealWorldQA79.3%SR

Vision

ODinW48.6%SR

AA Evaluation Indices

(Artificial Analysis)
Math Index(Artificial Analysis)
70.7
Intelligence Index(Artificial Analysis)
14.4
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Aime 25(MAA (Mathematical Association of America))
0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.6
Ifbench(Google Research (2023))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.4
Lcr(Artificial Analysis)
0.3
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.1

LLM Stats Category Scores

(LLM Stats (zeroeval))
Communication
3
Multimodal
1
General
90
Legal
80
Long Context
80
Math
80
Structured Output
80
Instruction Following
80
Language
80
Finance
80
Grounding
80
Healthcare
80
Creativity
80
Text-to-image
80
Video
80
Writing
80
Reasoning
70
Spatial Reasoning
70
Image To Text
70
3d
70
Agents
70
Tool Calling
70
Vision
70
Physics
60
Chemistry
60
Economics
60
Factuality
50

Pricing

Input Price$0.7 / 1M tokens
Output Price$2.8 / 1M tokens
Blended Price (3:1)$1.225 / 1M tokens

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

Provider Price Ranking

7 providers

Cheapest: LLM GatewayMost Expensive: Alibaba
ProviderInputOutput
1LLM GatewayCheapest
$0.2
$0.88
2TensorX
$0.21
$1.9
3OpenRouter
$0.26
$1.04
4Kilo Gateway
$0.26
$1.04
5NovitaAI
$0.3
$1.5
6Helicone
$0.3
$1.5
7AlibabaPRIMARY
$0.7
$2.8

Compare pricing across different API providers for this model.

External Sources