Analysis Summary
Qwen3 30B A3B Thinking 2507 is an open-weight reasoning model tuned by Alibaba's Qwen team. It uses extended reasoning traces to tackle mathematical tasks, logic problems, and code execution.
In business contexts, it excels at complex calculations, formula generation, and step-by-step logic verification. Integrated tool use enables external verification during extended thinking cycles.
Its low input pricing makes it an efficient engine for specialized analytical pipelines.
Assessed August 9, 2026
Editorial notes
Qwen3 30B A3B Thinking 2507 delivers reasoning and math performance with tool execution across an 81K context window.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 30B A3B Thinking 2507 delivers reasoning and math performance with tool execution across an 81K context window.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
14.4 Intelligence Index·12.1 Coding Index·16.7 Agentic Index·56.3 Math Index
How Qwen: Qwen3 30B A3B Thinking 2507 compares
Qwen: Qwen3 30B A3B Thinking 2507 ranks #227 of 430 AI models we track for overall intelligence, #170 of 203 for coding, #103 of 185 for agentic tasks. Its 82K-token context window is larger than 29% of the models we list. At $0.20 per million input tokens it is cheaper than 57% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 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 →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $2.40 | $0.002400 |
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 738 models → 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 “thinking mode,” 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 $0.20 per million input tokens and $2.40 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 81,920 tokens (82K).
Is Qwen: Qwen3 30B A3B Thinking 2507 good for coding?
On our coding benchmark index, Qwen: Qwen3 30B A3B Thinking 2507 ranks #170 of 203 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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 29, 2026 8:38 pm