Qwen: Qwen3 30B A3B Thinking 2507
Analysis Summary
Qwen3 30B A3B Thinking 2507 is a compact mixture-of-experts reasoning model from Alibaba's Qwen3 family, with tool use and function calling across a 131K context window. Its intelligence index of 22.4 and math index of 56.3 show strong analytical capability for its size, and the GPQA score of 0.707 is competitive. However, the coding index of 14.6 and agentic index of 16.7 limit its usefulness for software engineering or autonomous agent workflows.
For businesses, the model's strength lies in structured reasoning, content generation, and instruction-following tasks at very low cost. At $0.08/1M input and $0.40/1M output, it offers excellent price-performance for high-volume analytical or editorial workflows where frontier coding capability is not required.
Teams looking for a cost-effective reasoning model for SEO content, structured document generation, or analytical summarisation will find strong value here, provided they are comfortable with the provider's deployment model.
Assessed June 6, 2026
Editorial notes
Qwen3 30B A3B Thinking 2507 from Alibaba delivers strong math and reasoning at a very low $0.08/1M input price, with tool use and function calling, though coding and agentic scores are limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3 30B A3B Thinking 2507 compares
Qwen: Qwen3 30B A3B Thinking 2507 ranks #160 of 378 AI models we track for overall intelligence, #183 of 315 for coding, #201 of 289 for agentic tasks. Its 131K-token context window is larger than 60% of the models we list. At $0.08 per million input tokens it is cheaper than 68% of comparable models.
About Qwen: Qwen3 30B A3B Thinking 2507
Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for āthinking mode,ā where internal reasoning traces are separated..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3 30B A3B Thinking 2507 stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
qwen/qwen3-30b-a3b-thinking-2507
|
| Provider | qwen |
| Release Date | August 28, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 131,072 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000080 |
| Output | $0.40 | $0.000400 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Qwen: Qwen3 30B A3B Thinking 2507
How much does Qwen: Qwen3 30B A3B Thinking 2507 cost?
Qwen: Qwen3 30B A3B Thinking 2507 costs $0.08 per million input tokens and $0.40 per million output tokens.
What is the context window of Qwen: Qwen3 30B A3B Thinking 2507?
Qwen: Qwen3 30B A3B Thinking 2507 has a context window of 131,072 tokens (131K).
Is Qwen: Qwen3 30B A3B Thinking 2507 good for coding?
On our coding benchmark index, Qwen: Qwen3 30B A3B Thinking 2507 ranks #183 of 315 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3 30B A3B Thinking 2507 do?
Qwen: Qwen3 30B A3B Thinking 2507 supports tool use and function calling.
Who created Qwen: Qwen3 30B A3B Thinking 2507?
Qwen: Qwen3 30B A3B Thinking 2507 is developed by Qwen and was released on August 28, 2025.
