Alibaba
Qwen3 VL 32B Instruct
Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...
Model facts
- Context window
- 131K tokens
- Maximum output
- 33K tokens
- Cheapest paid input
- $0.104 per 1M tokens
- Cheapest paid output
- $0.416 per 1M tokens
- Open weights
- yes
- Providers
- 1
Capabilities and modalities
tool calling, structured output, attachments, temperature control, open weights, text, image.
Local hardware estimate
At 4K context: Q4_K_M 21.4 GiB, Q8_0 36.9 GiB, F16 66.1 GiB working memory.
- Parameters
- 33.4 billion
- Architecture
- qwen3vl
- 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 |
|---|---|---|---|---|
| default | 11.0 | not measured | 68.3 | not measured |
Observed price history
- 2026-08-24: $0.104 input / $0.416 output per 1M tokens
API providers
- OpenRouter — model id qwen/qwen3-vl-32b-instruct; $0.104 input / $0.416 output per 1M tokens; provider documentation