Qwen: Qwen3 30B A3B Instruct 2507
Analysis Summary
Qwen: Qwen3 30B A3B Instruct 2507 sits in the Efficient tier on our leaderboard, ranked #185 of 557 published models on overall intelligence. At $0.090 input and $0.300 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, and reasoning.
Editorial notes
Qwen3 30B A3B Instruct 2507 is a compact model with very low pricing and a 262K context window, but intelligence and agentic indices are low, limiting its utility for demanding business tasks; -4 penalty applied for provider accessibility.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
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
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 ā refreshed every 30 minutes.
