Qwen: Qwen3 VL 30B A3B Thinking
Analysis Summary
Qwen's Qwen3 VL 30B A3B Thinking accepts image and text input, supports tool use and function calling, and offers a 262,144-token context window. Its supplied results show strong math and coding-related benchmark values, but the overall intelligence index is low, and the agentic result is limited. The profile suggests useful specialist capabilities rather than dependable all-round performance.
This model may suit cost-conscious workflows involving visual inputs, long documents, or tightly scoped tool calls. Its low listed input price supports experimentation at higher volumes, although output pricing is higher than input pricing. Teams should test visual interpretation, instruction following, and multi-step tool reliability before using it in client deliverables. It is a candidate for monitored specialist tasks, not a default for complex autonomous workflows.
Assessed September 23, 2026
Editorial notes
Qwen3 VL 30B A3B Thinking pairs vision with tool and function calling, a 262K context window, and low input pricing; its measured intelligence and agentic results are limited.
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 VL 30B A3B Thinking pairs vision with tool and function calling, a 262K context window, and low input pricing; its measured intelligence and agentic results are limited.
Benchmarks
Artificial Analysis data refreshed Oct 23, 2026. Arena ratings from the Oct 20, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
Artificial Analysis has not published coding or agentic results for Qwen: Qwen3 VL 30B A3B Thinking yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How Qwen: Qwen3 VL 30B A3B Thinking compares
Qwen: Qwen3 VL 30B A3B Thinking ranks #244 of 443 AI models we track for overall intelligence. Its 262K-token context window is larger than 74% of the models we list. At $0.29 per million input tokens it is cheaper than 43% 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 | $0.29 | $0.000290 |
| Output | $1.00 | $0.001000 |
What would Qwen: Qwen3 VL 30B A3B Thinking 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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Talk to our teamAbout Qwen: Qwen3 VL 30B A3B Thinking
Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels..
Frequently asked questions about Qwen: Qwen3 VL 30B A3B Thinking
How much does Qwen: Qwen3 VL 30B A3B Thinking cost?
Qwen: Qwen3 VL 30B A3B Thinking costs $0.29 per million input tokens and $1.00 per million output tokens.
What is the context window of Qwen: Qwen3 VL 30B A3B Thinking?
Qwen: Qwen3 VL 30B A3B Thinking has a context window of 262,144 tokens (262K).
What can Qwen: Qwen3 VL 30B A3B Thinking do?
Qwen: Qwen3 VL 30B A3B Thinking supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3 VL 30B A3B Thinking?
Qwen: Qwen3 VL 30B A3B Thinking is developed by Qwen and was released on October 6, 2025.