Qwen: Qwen3 VL 32B Instruct✓ Catalog verified
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 comprehension, enabling fine-grained spatial reasoning, document and scene analysis, and long-horizon video understanding.Robust OCR in 32 languages, and enhanced multimodal fusion through Interleaved-MRoPE and DeepStack architectures. Optimized for agentic interaction and visual tool use, Qwen3-VL-32B delivers state-of-the-art performance for complex real-world multimodal tasks.
Overview
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 comprehension, enabling fine-grained spatial reasoning, document and scene analysis, and long-horizon video understanding.Robust OCR in 32 languages, and enhanced multimodal fusion through Interleaved-MRoPE and DeepStack architectures. Optimized for agentic interaction and visual tool use, Qwen3-VL-32B delivers state-of-the-art performance for complex real-world multimodal tasks.
Access: available through the official Qwen API. Context window: 131K.
Specifications
| API identifier | qwen/qwen3-vl-32b-instruct |
| Provider | Qwen |
| Model type | Multimodal LLM |
| Context window | 131K catalog |
| Input modalities | text · image |
| Output modalities | text |
| Released | Oct 23, 2025 |
| Tokenizer | Qwen |
| Moderated | No |
| Architecture modality | text+image->text |
API defaults
{
"top_k": 20,
"top_p": 0.8,
"temperature": 0.7,
"presence_penalty": null,
"frequency_penalty": null,
"repetition_penalty": 1
}Pricing
Live pricing components for qwen/qwen3-vl-32b-instruct as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $1.04e-7 | $0.10 / 1M | Per input token |
| Completion tokens | $4.16e-7 | $0.42 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.14Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Qwen: Qwen3 VL 32B Instruct through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="qwen/qwen3-vl-32b-instruct",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| AionLabs: Aion-1.0 | Aion Labs | 131K | $4.00 | View → |
| AionLabs: Aion-1.0-Mini | Aion Labs | 131K | $0.70 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Qwen: Qwen3 VL 32B Instruct cost?
$0.10 per 1M input tokens and $0.42 per 1M output tokens on the official Qwen API.
What is the context window of Qwen: Qwen3 VL 32B Instruct?
Qwen: Qwen3 VL 32B Instruct supports up to 131K tokens of context.
Does Qwen: Qwen3 VL 32B Instruct support tool / function calling?
Yes, Qwen: Qwen3 VL 32B Instruct supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Qwen: Qwen3 VL 32B Instruct?
Use the official Qwen API with the model id `qwen/qwen3-vl-32b-instruct`. See the Quick start section above for code examples.