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.
Added Aug 26, 2025
Context Window
N/A
Max Output
32.8K
Input Price (Auto)
$0.50/1M
Output Price (Auto)
$6.00/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
27.6
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Coding Index
20.9
GPQA Diamond
Graduate-level scientific reasoning
77.2%
Better than 77% of models compared
HLE
Humanity's Last Exam
10.1%
Better than 73% of models compared
IFBench
Instruction-following benchmark
56.5%
Better than 75% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
54.1%
Better than 63% of models compared
AA-LCR
Long context reasoning evaluation
58.7%
Better than 78% of models compared
SciCode
Python programming for scientific computing
39.9%
Better than 83% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
11.4%
Better than 53% of models compared
AIME 2025
American Invitational Mathematics Examination 2025
88.3%
Better than 87% of models compared
MMLU-Pro
Professional and academic subject knowledge
83.6%
Better than 85% of models compared
Last updated May 15, 2026
Artificial AnalysisLiveCodeBench
Contamination-free coding benchmark
64.6%
Better than 71% of models compared
