Qwen: Qwen3 30B A3B Instruct 2507
Analysis Summary
Qwen3 30B A3B Instruct 2507 is a mid-tier mixture-of-experts model from Alibaba, updated in July 2025. With an intelligence index of 9.1 it sits in the limited-to-moderate capability tier, but its agentic index of 8.1 and livecodebench score of 0.515 suggest reasonable coding and tool-use performance for its size class.
For businesses, this model suits lighter automation tasks, structured data extraction, and coding assistance where cost efficiency matters more than frontier accuracy. Instruction-following (ifbench 0.33) and long-context reasoning (lcr 0.23) are modest, so it is less suited to complex multi-step reasoning or long-document analysis.
At $0.048 input and $0.19 output per million tokens, it is one of the more affordable options with verified benchmarks. Teams running high-volume, lower-complexity workflows will find the price-to-capability ratio attractive, particularly for coding-adjacent tasks.
Assessed June 30, 2026
Editorial notes
Qwen3 30B A3B Instruct 2507 is a compact MoE model with tool use, function calling, and a 131K context, offering strong value at under $0.05 input per million tokens.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3 30B A3B Instruct 2507 compares
Qwen: Qwen3 30B A3B Instruct 2507 ranks #244 of 385 AI models we track for overall intelligence, #272 of 293 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. At $0.05 per million input tokens it is cheaper than 74% of comparable models.
About Qwen: Qwen3 30B A3B Instruct 2507
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 professional models.
Model Information
| OpenRouter ID |
qwen/qwen3-30b-a3b-instruct-2507
|
| Provider | qwen |
| Release Date | July 29, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 32,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.05 | $0.000048 |
| Output | $0.19 | $0.000193 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Qwen: Qwen3 30B A3B Instruct 2507
How much does Qwen: Qwen3 30B A3B Instruct 2507 cost?
Qwen: Qwen3 30B A3B Instruct 2507 costs $0.05 per million input tokens and $0.19 per million output tokens.
What is the context window of Qwen: Qwen3 30B A3B Instruct 2507?
Qwen: Qwen3 30B A3B Instruct 2507 has a context window of 131,072 tokens (131K).
What can Qwen: Qwen3 30B A3B Instruct 2507 do?
Qwen: Qwen3 30B A3B Instruct 2507 supports tool use and function calling.
Who created Qwen: Qwen3 30B A3B Instruct 2507?
Qwen: Qwen3 30B A3B Instruct 2507 is developed by Qwen and was released on July 29, 2025.
