AI Observatory / Model Radar
Qwen / qwen/qwen3-vl-32b-instruct
Qwen: 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...
131,072
Context
32,768
Max output
$0.10 / 1M
Prompt price
2025-10-23
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Qwen | Input modalities | text, image |
|---|---|---|---|
| Output modalities | text | Prompt price | $0.10 / 1M |
| Completion price | $0.42 / 1M | Request price | N/A |
| Context length | 131,072 | Max completion tokens | 32,768 |
| Supported parameters | max_tokens, presence_penalty, response_format, seed, temperature, tool_choice, tools, top_p | ||
Best for
qwen/qwen3-vl-32b-instruct
Qwen: 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...
Deep analysis
Cross-modal work
High-volume usage
Coding workflows
vision
tool-capable
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.