Qwen: Qwen3 30B A3B Thinking 2507
Analysis Summary
Qwen3 30B A3B Thinking is a compact reasoning model from Qwen that posts strong scores on general knowledge and coding tasks relative to its size, alongside tool use and function calling support. Its agentic and terminal-task benchmarks are more modest.
This profile suits structured content generation, technical Q&A and lightweight coding assistance rather than complex multi-step autonomous agents.
Pricing is low and the 131K context window is workable for most document tasks, making it a reasonable budget option for text-heavy business workloads.
Assessed July 19, 2026
Editorial notes
Qwen3 30B A3B Thinking shows strong knowledge scores and solid coding benchmarks at a low price, though overall agentic reliability remains modest.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 30B A3B Thinking shows strong knowledge scores and solid coding benchmarks at a low price, though overall agentic reliability remains modest.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
14.4 Intelligence IndexĀ·12.1 Coding IndexĀ·16.7 Agentic IndexĀ·56.3 Math Index
How Qwen: Qwen3 30B A3B Thinking 2507 compares
Qwen: Qwen3 30B A3B Thinking 2507 ranks #188 of 393 AI models we track for overall intelligence, #126 of 157 for coding, #199 of 300 for agentic tasks. Its 131K-token context window is larger than 57% of the models we list. At $0.13 per million input tokens it is cheaper than 61% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.13 | $0.000130 |
| Output | $1.56 | $0.001560 |
What would Qwen: Qwen3 30B A3B Thinking 2507 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 30B A3B Thinking 2507 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
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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 #126 of 157 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.
