Qwen: Qwen3 30B A3B Instruct 2507
Qwen3 30B A3B Instruct 2507 from Alibaba is a very affordable small model with tool use support and a large context window, suitable for cost-sensitive lighter tasks, though its reasoning and coding scores are limited and its provider has restricted Western business accessibility.
Assessment date: April 16, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
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..
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Qwen3 |
| Parameters | 30B |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3 30B A3B Instruct 2507 stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
qwen/qwen3-30b-a3b-instruct-2507
|
| Provider | qwen |
| Release Date | July 29, 2025 |
| Context Length | 262,144 tokens |
| Max Completion | 262,144 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.09 | $0.000090 |
| Output | $0.30 | $0.000300 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
