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
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
Performance Summary
Qwen3 30B A3B Instruct 2507 demonstrates strong overall performance, particularly excelling in reliability with a 100% success rate across all benchmarks, indicating exceptional stability. The model performs among the fastest models, ranking in the 63rd percentile for speed, and offers competitive pricing, placing in the 56th percentile. Its strengths are evident in several key areas. It achieves perfect accuracy in both Keyword Topic Relevance Classification and Ethics, making it the most accurate model at its price point and speed for these tasks. The model also shows impressive capabilities in Mathematics (94.0% accuracy, 91st percentile) and Coding (93.0% accuracy, 88th percentile), suggesting robust reasoning and programming knowledge. Furthermore, its 98.0% accuracy in Hallucinations indicates a strong ability to acknowledge uncertainty. While its Instruction Following (59.8% accuracy) and Email Classification (94.0% accuracy, 30th percentile) are less stellar, they remain functional. The model's description highlights its design for high-quality instruction following and agentic tool use, which aligns with its strong performance in reasoning and coding.
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 |
Nebius
|
Nebius | qwen/qwen3-30b-a3b-instruct-2507 | 262K | $0.1 / 1M tokens | $0.3 / 1M tokens |
Chutes
|
Chutes | qwen/qwen3-30b-a3b-instruct-2507 | 262K | $0.07 / 1M tokens | $0.28 / 1M tokens |
SiliconFlow
|
SiliconFlow | qwen/qwen3-30b-a3b-instruct-2507 | 262K | $0.09 / 1M tokens | $0.3 / 1M tokens |
AtlasCloud
|
AtlasCloud | qwen/qwen3-30b-a3b-instruct-2507 | 131K | $0.09 / 1M tokens | $0.45 / 1M tokens |
Chutes
|
Chutes | qwen/qwen3-30b-a3b-instruct-2507 | 262K | $0.07 / 1M tokens | $0.28 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Strategy | Free | Executions | Accuracy | Cost | Duration |
---|
Other Models by qwen
|
Released | Params | Context |
|
Speed | Ability | Cost |
---|---|---|---|---|---|---|---|
Qwen: Qwen3 VL 235B A22B Thinking | Sep 23, 2025 | 235B | 131K |
Text input
Image input
Text output
|
★ | ★ | $$$$$ |
Qwen: Qwen3 VL 235B A22B Instruct | Sep 23, 2025 | 235B | 131K |
Text input
Image input
Text output
|
★★★ | ★★★★★ | $$$ |
Qwen: Qwen3 Max | Sep 23, 2025 | — | 256K |
Text input
Text output
|
★★★★ | ★★★★★ | $$$$ |
Qwen: Qwen3 Coder Plus | Sep 23, 2025 | ~480B | 128K |
Text input
Text output
|
★★★★ | ★★★★ | $$$$ |
Qwen: Qwen3 Coder Flash | Sep 17, 2025 | — | 128K |
Text input
Text output
|
★★★★ | ★★★ | $$$ |
Qwen: Qwen3 Next 80B A3B Thinking | Sep 11, 2025 | 80B | 262K |
Text input
Text output
|
★ | ★★★★ | $$$$$ |
Qwen: Qwen3 Next 80B A3B Instruct | Sep 11, 2025 | 80B | 262K |
Text input
Text output
|
★★★★ | ★★★★★ | $$$$ |
Qwen: Qwen Plus 0728 | Sep 08, 2025 | ~20B | 1M |
Text input
Text output
|
★★★★★ | ★★★ | $$$ |
Qwen: Qwen3 30B A3B Thinking 2507 | Aug 28, 2025 | 30B | 262K |
Text input
Text output
|
★★ | ★★★ | $$$$ |
Qwen: Qwen3 Coder 30B A3B Instruct | Jul 31, 2025 | 30B | 262K |
Text input
Text output
|
★★★★ | ★★★ | $$ |
Qwen: Qwen3 235B A22B Thinking 2507 | Jul 25, 2025 | 235B | 131K |
Text input
Text output
|
★ | ★★★★ | $$$$$ |
Qwen: Qwen3 Coder 480B A35B | Jul 22, 2025 | 480B | 1M |
Text input
Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen3 235B A22B Instruct 2507 | Jul 21, 2025 | 235B | 262K |
Text input
Text output
|
★★ | ★★★ | $$$ |
Qwen: Qwen3 30B A3B | Apr 28, 2025 | 30B | 40K |
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Text output
|
★ | ★★★★★ | $$$$ |
Qwen: Qwen3 8B | Apr 28, 2025 | 8B | 128K |
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Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen3 14B | Apr 28, 2025 | 14B | 40K |
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Text output
|
★★ | ★★★★ | $$$ |
Qwen: Qwen3 32B | Apr 28, 2025 | 32B | 40K |
Text input
Text output
|
★ | ★★★★★ | $$$ |
Qwen: Qwen3 235B A22B | Apr 28, 2025 | 235B | 40K |
Text input
Text output
|
★ | ★★★★ | $$$$ |
Qwen: Qwen2.5 VL 32B Instruct | Mar 24, 2025 | 32B | 128K |
Text input
Image input
Text output
|
★ | ★★★ | $$$ |
Qwen: QwQ 32B | Mar 05, 2025 | 32B | 131K |
Text input
Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen VL Plus | Feb 04, 2025 | — | 7K |
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Image input
Text output
|
★★★★ | ★★ | $$$ |
Qwen: Qwen VL Max | Feb 01, 2025 | — | 7K |
Text input
Image input
Text output
|
★★★ | ★★★ | $$$$ |
Qwen: Qwen-Turbo | Feb 01, 2025 | — | 1M |
Text input
Text output
|
★★★★★ | ★★★★ | $$ |
Qwen: Qwen2.5 VL 72B Instruct | Feb 01, 2025 | 72B | 32K |
Text input
Image input
Text output
|
★★★★ | ★★★★ | $$ |
Qwen: Qwen-Plus | Feb 01, 2025 | — | 131K |
Text input
Text output
|
★★★★ | ★★★★ | $$$ |
Qwen: Qwen-Max | Feb 01, 2025 | — | 32K |
Text input
Text output
|
★★★★ | ★★★★ | $$$$ |
Qwen: QwQ 32B Preview Unavailable | Nov 27, 2024 | 32B | 32K |
Text input
Text output
|
— | ★ | $$ |
Qwen2.5 Coder 32B Instruct | Nov 11, 2024 | ~500B | 32K |
Text input
Text output
|
★★★★★ | ★★★★★ | $ |
Qwen: Qwen2.5 7B Instruct | Oct 15, 2024 | ~500B | 32K |
Text input
Text output
|
★ | ★★ | $ |
Qwen2.5 72B Instruct | Sep 18, 2024 | ~500B | 32K |
Text input
Text output
|
★★★ | ★★ | $$ |
Qwen: Qwen2.5-VL 7B Instruct | Aug 27, 2024 | ~500B | 32K |
Text input
Image input
Text output
|
★★★★ | ★★ | $$ |
Qwen 2 72B Instruct Unavailable | Jun 06, 2024 | ~500B | 32K |
Text input
Text output
|
★★★★ | ★★ | $$$$ |