Qwen: Qwen3 30B A3B Instruct 2507

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

Description

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.

How this model compares

Overall covers the full catalog. By plan covers only models available on that tier (same rules as available models in your list). Position on min–average–max. Prices use the higher of prompt or completion per token, shown per 1M tokens.

Price (per 1M tokens)

Min
Max
This model
336 models in this groupPrice (per 1M tokens)
Min
$0.04
Avg
$12.381012
Max
$750.00
This model: $0.19305 / 1M tokens

Context length (tokens)

Min
Max
This model
336 models in this groupContext length (tokens)
Min
4,095 tokens
Avg
382,115.467 tokens
Max
10,000,000 tokens
This model: 131,072 tokens

Capabilities

Text → TextContext: 128,000 tokens
Input:
Text
Output:
Text
    Qwen: Qwen3 30B A3B Instruct 2507