Qwen3 30B A3B Thinking 2507

Name: Qwen3 30B A3B Thinking 2507
Author: Qwen (Alibaba)

by Qwen (Alibaba)Qwen 3

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released July 2025262K context≈ 196,608 words30B params

A mid-sized mixture-of-experts model that activates only 3 billion parameters per forward pass despite housing 30 billion total, making it unusually efficient for its reasoning depth. It operates in an explicit thinking mode, working through problems step-by-step before committing to answers — a trait that shows most clearly on multi-step math and logic tasks. The trade-off is verbosity: responses can be lengthy when a concise answer would suffice.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Exceptional

Multilingual

Qwen3 30B A3B Thinking 2507

by Qwen (Alibaba)Qwen 3

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released July 2025262K context≈ 196,608 words30B params

A mid-sized mixture-of-experts model that activates only 3 billion parameters per forward pass despite housing 30 billion total, making it unusually efficient for its reasoning depth. It operates in an explicit thinking mode, working through problems step-by-step before committing to answers — a trait that shows most clearly on multi-step math and logic tasks. The trade-off is verbosity: responses can be lengthy when a concise answer would suffice.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Exceptional

Multilingual

Glossary

Explicit ThinkingA mode where a model generates visible reasoning steps before producing a final answer, allowing you to see its problem-solving process.Explicit Thinking ModeA feature that allows a model to show its reasoning process step-by-step before providing an answer, useful for complex problems that benefit from deliberate problem-solving.Forward PassA single computation cycle where input data flows through the model's layers to produce an output prediction.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning DepthA model's ability to perform complex multi-step logical thinking and problem-solving; typically increases with model size.Thinking ModeA model operating mode where it explicitly works through problems step-by-step before generating a final answer, improving accuracy on complex tasks.

Capabilities

Capabilities

Use Case Fit

Glossary