Qwen3 VL 235B A22B Thinking

Qwen3 Vision‑Language model built on a 235B MoE backbone (≈22B active per token). Strong at OCR, charts/tables, multi‑image reasoning, and complex document understanding. The Thinking variant enables long‑form, chain‑of‑thought style reasoning.

  • Reasoning
  • Vision

Added Aug 26, 2025

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.50
Output
$6.00
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Specifications

Context window
N/A
Max output
32.8K
Parameters
235B / 22B
Total / active
Avg output (7d)
2.2K tokens
Longer than 92% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

13.4

Better than 52% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

54.1%

Better than 55% of models compared

Document reasoning

AA-LCR v1.1

Long context reasoning with updated grading

63.7%

Better than 54% of models compared

Reasoning

HLE

Humanity's Last Exam

11.9%

Better than 56% of models compared

IFBench

Instruction-following benchmark

56.5%

Better than 67% of models compared

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

11.4%

Better than 47% of models compared

LiveCodeBench

Contamination-free coding benchmark

64.6%

Better than 71% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

88.3%

Better than 87% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

83.6%

Better than 85% of models compared

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

77.2%

Better than 62% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

63.7%

Better than 54% of models compared

Last updated Oct 1, 2026

Artificial Analysis

Providers

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