Qwen 3 30b A3B is a 30b model with 3 billion active parameters per pass. 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.
Added Feb 27, 2025
Model weightsContext Window
41.0K
Max Output
32.8K
Input Price (Auto)
$0.10/1M
Output Price (Auto)
$0.30/1M
Cache Read (Auto)
$0.050/1M
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
6.6
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
51.5%
Better than 27% of models compared
HLE
Humanity's Last Exam
4.6%
Better than 26% of models compared
IFBench
Instruction-following benchmark
31.9%
Better than 19% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
22.2%
Better than 24% of models compared
AA-LCR
Long context reasoning evaluation
0.0%
Better than 6% of models compared
Coding
SciCode
Python programming for scientific computing
26.4%
Better than 31% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
6.8%
Better than 37% of models compared
LiveCodeBench
Contamination-free coding benchmark
32.2%
Better than 39% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
21.7%
Better than 23% of models compared
AIME
American Invitational Mathematics Examination
26.0%
Better than 53% of models compared
Math-500
Diverse mathematical problem solving benchmark
86.3%
Better than 55% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
71.0%
Better than 38% of models compared
Last updated Aug 16, 2026
Artificial AnalysisProviders
Auto routing is available for this model. Explicit provider selection is not available.
Loading provider options…
Related text models
Compare Qwen3 30B A3B with similar models from the same provider or model family.
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.
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).
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).
Qwen3 Next 80B A3B (Thinking)
qwen/qwen3-next-80b-a3b-thinkingQwen3 Next 80B A3B (Thinking)
Qwen 3.8 27B Uncensored
qwen/qwen3.8-27b-uncensoredQwen 3.8 27B Uncensored is an NVFP4 open-weight multimodal model LoRA-tuned for fewer refusals across chat, coding, tool use, and long-context work.