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 weightsPricing
Auto routing · per 1M tokens- Input
- $0.50
- Output
- $6.00
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
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
13.4
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 AnalysisProviders
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