Qwen: Qwen3 30B A3B Instruct 2507

Text input Text output
Author's 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.

Key Specifications
Cost
$$$
Context
131K
Parameters
30B
Released
Jul 29, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Presence Penalty Top P Temperature Seed Response Format Max Tokens
Features

This model supports the following features:

Response Format
Performance Summary

Qwen3-30B-A3B-Instruct-2507 demonstrates a strong overall performance profile, positioning itself as a highly reliable and competitive model. It consistently performs among the faster models, ranking in the 63rd percentile for speed, and offers competitive pricing, placing in the 57th percentile. A standout feature is its exceptional reliability, achieving a perfect 100% success rate across all benchmarks, indicating minimal technical failures. In terms of specific performance, the model excels in Coding (Baseline) with 93.0% accuracy, notably being the most accurate model at its price point. It achieved perfect accuracy (100.0%) in the Ethics (Baseline) benchmark, further highlighting its strong ethical reasoning capabilities and making it the most accurate model at its price and speed. While its General Knowledge (97.0%) and Reasoning (74.0%) scores are solid, its Instruction Following (59.8%) and Email Classification (94.0%) performance, though respectable, are not as high in their respective percentiles. The model's design for high-quality instruction following and agentic tool use is evident, and its competitive performance across reasoning, coding, and alignment benchmarks makes it a versatile choice.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.2
Completion $0.8

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Alibaba
Alibaba | qwen/qwen3-30b-a3b-instruct-2507 131K $0.2 / 1M tokens $0.8 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
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