Models Model details

Qwen

Qwen: Qwen3 30B A3B Instruct 2507

qwen/qwen3-30b-a3b-instruct-2507

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and agentic tool use. Post-trained on instruction data, it demonstrates competitive performance across reasoning (AIME, ZebraLogic), coding (MultiPL-E, LiveCodeBench), and alignment (IFEval, WritingBench) benchmarks. It outperforms its non-instruct variant on subjective and open-ended tasks while retaining strong factual and coding performance.

Input
$0.1

/ 1M tokens

Output
$0.3

/ 1M tokens

Context window
262.14K

tokens

Limits

Context

262,144

tokens

Max output

235,929

90% of the context window

Parameters

30,532,122,624

Model facts

Author

Qwen

Tokenizer

Qwen3

Modality

Text -> Text

License

Apache-2.0

Knowledge cutoff

2025-06-30

Created

Jul 29, 2025

Hugging Face

Qwen/Qwen3-30B-A3B-Instruct-2507

Publication status

Hugging Face: verifiedLicense: publishedParameter count: published

Modalities

Input · TextOutput · Text

Generation controls

Frequency penaltyLogit biasLogprobsMax tokensPresence penaltyRepetition penaltyResponse formatSeedStopStructured outputsTemperatureTool choiceToolsTop kTop logprobsTop p

Capability scores

7.5
Intelligence index

Better than 12% of models compared