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
Avg output tokens (7d)
972 tokens
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
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
22.2%
Better than 24% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
0.0%
Better than 6% of models compared
Reasoning
HLE
Humanity's Last Exam
4.6%
Better than 25% of models compared
IFBench
Instruction-following benchmark
31.9%
Better than 19% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · 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
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
51.5%
Better than 25% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
0.0%
Better than 6% of models compared
Last updated Sep 13, 2026
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