Qwen: Qwen3 30B A3B Thinking 2507
Analysis Summary
Qwen3 30B A3B Thinking 2507 is a compact mixture-of-experts reasoning model from Alibaba's Qwen team, activating 3B parameters from a 30B pool. It posts strong math scores and competitive coding performance on LiveCodeBench, with tool use and function calling support across a 131K context window.
For businesses, its best fit is cost-sensitive coding assistance, mathematical reasoning tasks, and structured output generation. The agentic index is low, so it is not well suited to autonomous multi-step workflows. Instruction-following scores are moderate, which may limit reliability for precise client-facing content generation.
At $0.08 input and $0.40 output per million tokens, it is among the most affordable capable reasoning models available. Teams needing a budget-friendly coding or math assistant that supports tool use will find it a practical choice, provided they do not require strong agentic or long-context reliability.
Assessed June 30, 2026
Editorial notes
Qwen3 30B A3B Thinking 2507 delivers strong math and coding benchmarks at very low cost, with tool use and function calling, though agentic reliability is 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 #180 of 385 AI models we track for overall intelligence, #115 of 139 for coding, #205 of 293 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. At $0.13 per million input tokens it is cheaper than 60% 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 | 32,768 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.13 | $0.000130 |
| Output | $1.56 | $0.001560 |
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 $0.13 per million input tokens and $1.56 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 #115 of 139 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.
