Analysis Summary
Qwen3 30B A3B is a text model with a 131K context window, tool use, and function calling. Its measured overall intelligence index is limited, while the supplied record contains no detailed coding, agentic, or instruction-following benchmarks. The listed pricing is low, making it more relevant as a budget option than as a capability-led choice.
It may be suitable for straightforward text processing or tool-connected tasks with explicit instructions and reliable review. The context window gives it room for longer inputs, but the data does not demonstrate that it can reason over them accurately. No vision support is listed, and its performance for autonomous agents is not established. Businesses should treat it as a candidate for low-risk workflows and test it against their own requirements before adopting it for client-facing output or complex execution.
Assessed September 23, 2026
Editorial notes
Qwen3 30B A3B offers a 131K context, tool and function calling, and low listed pricing, but its measured reasoning index is limited and coding benchmarks are not provided.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Qwen3 30B A3B offers a 131K context, tool and function calling, and low listed pricing, but its measured reasoning index is limited and coding benchmarks are not provided.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for Qwen: Qwen3 30B A3B yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How Qwen: Qwen3 30B A3B compares
Qwen: Qwen3 30B A3B ranks #286 of 435 AI models we track for overall intelligence. Its 131K-token context window is larger than 51% of the models we list. At $0.12 per million input tokens it is cheaper than 59% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.12 | $0.000120 |
| Output | $0.50 | $0.000500 |
What would Qwen: Qwen3 30B A3B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 30B A3B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3 30B A3B
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique..
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Frequently asked questions about Qwen: Qwen3 30B A3B
How much does Qwen: Qwen3 30B A3B cost?
Qwen: Qwen3 30B A3B costs $0.12 per million input tokens and $0.50 per million output tokens.
What is the context window of Qwen: Qwen3 30B A3B?
Qwen: Qwen3 30B A3B has a context window of 131,072 tokens (131K).
What can Qwen: Qwen3 30B A3B do?
Qwen: Qwen3 30B A3B supports tool use and function calling.
Who created Qwen: Qwen3 30B A3B?
Qwen: Qwen3 30B A3B is developed by Qwen and was released on April 28, 2025.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 8, 2026 8:39 pm