Qwen 3 235b A22B Instruct 2507 the updated version of Qwen3 235B A22B, with significant improvements in performance. This model is non-thinking.
Added Jul 25, 2025
Model weightsContext Window
256.0K
Max Output
262.1K
Input Price (Auto)
$0.087/1M
Output Price (Auto)
$0.35/1M
Cache Read (Auto)
$0.018/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
18.4
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
75.3%
Better than 60% of models compared
HLE
Humanity's Last Exam
11.1%
Better than 61% of models compared
IFBench
Instruction-following benchmark
46.1%
Better than 54% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
33.3%
Better than 41% of models compared
AA-LCR
Long context reasoning evaluation
33.0%
Better than 39% of models compared
Coding
SciCode
Python programming for scientific computing
36.0%
Better than 55% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
15.2%
Better than 52% of models compared
LiveCodeBench
Contamination-free coding benchmark
52.4%
Better than 59% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
71.7%
Better than 66% of models compared
AIME
American Invitational Mathematics Examination
71.7%
Better than 81% of models compared
Math-500
Diverse mathematical problem solving benchmark
98.0%
Better than 91% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
82.8%
Better than 81% of models compared
Last updated Aug 16, 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 with similar models from the same provider or model family.
Qwen 3 235b A22B 2507 Thinking
Qwen/Qwen3-235B-A22B-Thinking-2507The thinking version of Qwen 3 235b A22B 2507, with enhanced reasoning capabilities and step-by-step problem solving.
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.
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 Next 80B A3B (Instruct)
Qwen/Qwen3-Next-80B-A3B-InstructBased on the new Qwen3‑Next architecture (hybrid attention, highly sparse MoE, training‑stability optimizations, and multi‑token prediction), the Qwen3‑Next‑80B‑A3B‑Instruct model delivers extreme efficiency with only 3B active parameters per pass. It performs comparably to Qwen3‑235B‑A22B‑Instruct‑2507 and shows clear advantages on ultra‑long context tasks (up to 256K tokens).
Qwen 3.6 35B A3B Uncensored
qwen/qwen3.6-35b-a3b-uncensoredQwen 3.6 35B A3B Uncensored is an NVFP4 open-weight mixture-of-experts model LoRA-tuned for fewer refusals across chat, coding, tool use, and multimodal tasks.