Alibaba
Qwen3-VL 30B-A3B
Qwen vision-language model for visual reasoning, documents, and agent tasks
Model facts
- Context window
- 262K tokens
- Maximum output
- 33K tokens
- Cheapest paid input
- $0.108 per 1M tokens
- Cheapest paid output
- $0.431 per 1M tokens
- Open weights
- yes
- Providers
- 5
Capabilities and modalities
reasoning, tool calling, structured output, attachments, temperature control, open weights, text, image.
Local hardware estimate
At 4K context: Q4_K_M 17.6 GiB, Q8_0 32.1 GiB, F16 59.2 GiB working memory.
- Parameters
- 31.1 billion
- Architecture
- qwen3vlmoe
- Model license
- apache-2.0
Planning estimate adapted from the MIT-licensed whichllm estimator using metadata from Hugging Face; not a vendor minimum requirement.
Artificial Analysis benchmarks
Compare this model on the full LLM benchmark leaderboard.
| Configuration | AAI | Coding | Math | Output tokens/s |
|---|---|---|---|---|
| Reasoning | 13.4 | not measured | 82.3 | not measured |
Observed price history
- 2026-08-24: $0.108 input / $0.431 output per 1M tokens
API providers
- Alibaba (China) — model id qwen3-vl-30b-a3b; $0.108 input / $0.431 output per 1M tokens; provider documentation
- NEAR AI Cloud — model id Qwen/Qwen3-VL-30B-A3B-Instruct; $0.15 input / $0.55 output per 1M tokens; provider documentation
- DevPass (LLM Gateway) — model id qwen3-vl-30b-a3b-instruct; $0.15 input / $0.6 output per 1M tokens; provider documentation
- OpenRouter — model id qwen/qwen3-vl-30b-a3b-instruct; $0.15 input / $0.6 output per 1M tokens; provider documentation
- Alibaba — model id qwen3-vl-30b-a3b; $0.2 input / $0.8 output per 1M tokens; provider documentation