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Qwen3 VL 235B A22B Instruct

Qwen/Qwen3-VL-235B-A22B-Instruct
BackTry Model
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Qwen3 VL 235B A22B Instruct

Qwen/Qwen3-VL-235B-A22B-Instruct
BackTry Model

Qwen3 Vision‑Language model (235B MoE, ≈22B active) tuned for instruction following and grounded visual QA. Excels at image understanding, dense OCR, charts/diagrams, and multi‑image context.

Model weights

Context Window

128.0K

Max Output

262.1K

Input Price (Auto)

$0.30/1M

Output Price (Auto)

$1.20/1M

Cache Read (Auto)

$0.15/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

14.4

Better than 42% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

71.2%

Better than 52% of models compared

HLE

Humanity's Last Exam

6.6%

Better than 46% of models compared

IFBench

Instruction-following benchmark

42.7%

Better than 45% of models compared

T²-Bench Telecom

Conversational AI agents in dual-control scenarios

35.1%

Better than 44% of models compared

AA-LCR

Long context reasoning evaluation

32.0%

Better than 39% of models compared

CritPt

Research-level physics reasoning

0.0%

Coding

SciCode

Python programming for scientific computing

35.9%

Better than 55% of models compared

Terminal-Bench Hard

Agentic coding and terminal use

6.8%

Better than 37% of models compared

LiveCodeBench

Contamination-free coding benchmark

59.4%

Better than 66% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

70.7%

Better than 65% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

82.3%

Better than 79% of models compared

AA-Omniscience Accuracy

Proportion of correctly answered questions

18.6%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

87.1%

Last updated Aug 16, 2026

Artificial Analysis

Providers

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