Qwen: Qwen3 VL 30B A3B Thinking
Analysis Summary
Qwen3 VL 30B A3B Thinking is a compact vision-language thinking model from Alibaba's Qwen team, priced at $0.13 input and $1.56 output per million tokens. Vision, tool use, and function calling are supported. Math benchmarks are strong at 82.3 and GPQA at 0.720 shows reasonable scientific reasoning, but the agentic index of 12.6 and coding index of 13.1 are weak, limiting its usefulness for autonomous agents or software engineering.
For businesses, it suits analytical and research-adjacent tasks where vision and extended reasoning over images or documents matter more than coding or agentic reliability. The 131K context window is adequate for most document workflows. Instruction following is moderate at 0.451.
A -4 regional accessibility adjustment applies. At this price point it is a cost-effective multimodal reasoning tool for specific analytical use cases, but businesses requiring strong agentic or coding performance should look to higher-tier alternatives.
Assessed June 6, 2026
Editorial notes
Qwen3 VL 30B A3B Thinking from Qwen offers vision, tool use, and strong math benchmarks at low cost, but agentic and coding scores are weak and the regional penalty applies.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3 VL 30B A3B Thinking compares
Qwen: Qwen3 VL 30B A3B Thinking ranks #174 of 378 AI models we track for overall intelligence, #209 of 315 for coding, #239 of 289 for agentic tasks. Its 131K-token context window is larger than 60% of the models we list. At $0.13 per million input tokens it is cheaper than 59% of comparable models.
About 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..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3 VL 30B A3B Thinking stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
qwen/qwen3-vl-30b-a3b-thinking
|
| Provider | qwen |
| Release Date | October 6, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 32,768 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.13 | $0.000130 |
| Output | $1.56 | $0.001560 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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 $0.13 per million input tokens and $1.56 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 131,072 tokens (131K).
Is Qwen: Qwen3 VL 30B A3B Thinking good for coding?
On our coding benchmark index, Qwen: Qwen3 VL 30B A3B Thinking ranks #209 of 315 models, placing it in the broader range of the field for code generation and debugging.
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.
