Qwen: Qwen3 VL 30B A3B Thinking
Analysis Summary
Qwen3 VL 30B A3B Thinking is a multimodal model with a 262K context window, tool use, and function calling. Its supplied results show strong mathematical performance and useful coding capability, while vision support enables document, screenshot, and image-oriented workflows. The long context is particularly useful for large briefs, technical material, and multi-document review.
Its overall reasoning index is low, and agentic and terminal results are limited, so it should not be trusted with complex autonomous work without supervision. Pricing is attractive on input but materially higher on output. It fits structured visual extraction, technical checking, and constrained tool workflows where cost and context matter more than open-ended judgement.
Assessed September 7, 2026
Editorial notes
Qwen3 VL 30B A3B Thinking combines vision, function calling, strong mathematics, and a 262K context window, but its overall reasoning index remains limited for broad client leadership.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 VL 30B A3B Thinking combines vision, function calling, strong mathematics, and a 262K context window, but its overall reasoning index remains limited for broad client leadership.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
7.5 Intelligence Index·82.3 Math Index
How Qwen: Qwen3 VL 30B A3B Thinking compares
Qwen: Qwen3 VL 30B A3B Thinking ranks #259 of 435 AI models we track for overall intelligence. Its 262K-token context window is larger than 71% 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 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.
Full calculator with 756 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 VL 30B A3B Thinking for the hard ones. Most clients cut their estimate by 60-80%.
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 $0.20 per million input tokens and $2.40 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.