The thinking version of Qwen 3 235b A22B 2507, with enhanced reasoning capabilities and step-by-step problem solving.
Added Sep 11, 2025
Model weightsContext Window
256.0K
Max Output
262.1K
Input Price (Auto)
$0.31/1M
Output Price (Auto)
$0.53/1M
Cache Read (Auto)
$0.16/1M
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
22.3
Coding Index
22.1
Agentic Index
3.8
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
79.0%
Better than 74% of models compared
HLE
Humanity's Last Exam
15.0%
Better than 77% of models compared
IFBench
Instruction-following benchmark
51.2%
Better than 62% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
53.2%
Better than 55% of models compared
AA-LCR
Long context reasoning evaluation
67.0%
Better than 89% of models compared
GDPval-AA
Economically valuable tasks
2.1%
CritPt
Research-level physics reasoning
0.0%
Coding
SciCode
Python programming for scientific computing
42.4%
Better than 84% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
13.6%
Better than 51% of models compared
LiveCodeBench
Contamination-free coding benchmark
78.8%
Better than 90% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
91.0%
Better than 92% of models compared
AIME
American Invitational Mathematics Examination
94.0%
Better than 98% of models compared
Math-500
Diverse mathematical problem solving benchmark
98.4%
Better than 95% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
84.3%
Better than 89% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
22.8%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
89.8%
Last updated Jun 28, 2026
Artificial AnalysisProviders
Choose explicit providers for this model. Auto routing remains available as the default option.
Loading provider options…
Related text models
Compare Qwen 3 235b A22B 2507 Thinking with similar models from the same provider or model family.
Qwen 3 235b A22B 2507
Qwen/Qwen3-235B-A22B-Instruct-2507Qwen 3 235b A22B Instruct 2507 the updated version of Qwen3 235B A22B, with significant improvements in performance. This model is non-thinking.
Qwen 3 235b A22B
Qwen/Qwen3-235B-A22BQwen 3 235b is a 235b model with 22B active parameters. Supports switching between thinking and non thinking: trigger thinking with /think and /no_think anywhere in a prompt or system message to toggle chain-of-thought reasoning.
Qwen 3 235b A22B
qwen/qwen3-235b-a22bQwen 3 235b is a 235b model with 22B active parameters. Supports switching between thinking and non thinking: trigger thinking with /think and /no_think anywhere in a prompt or system message to toggle chain-of-thought reasoning.
Qwen3 VL 235B A22B Instruct
Qwen/Qwen3-VL-235B-A22B-InstructQwen3 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.
Qwen3.6 35B A3B Thinking
Qwen/Qwen3.6-35B-A3B:thinkingQwen3.6 35B A3B is a native vision-language MoE model with hybrid attention. Compared to Qwen3.5 35B A3B, Alibaba reports stronger agentic coding, mathematical and code reasoning, and better spatial understanding (including object localization and detection).
Qwen3.6 35B A3B
Qwen/Qwen3.6-35B-A3BQwen3.6 35B A3B is a native vision-language MoE model with hybrid attention. Compared to Qwen3.5 35B A3B, Alibaba reports stronger agentic coding, mathematical and code reasoning, and better spatial understanding (including object localization and detection).