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Documentation Index

Fetch the complete documentation index at: https://docs.oxen.ai/llms.txt

Use this file to discover all available pages before exploring further.

Try Qwen3 VL 2B - Instruct in the Workbench

Run this model interactively, tune parameters, and compare outputs.
Model ID: qwen3-vl-2b-instruct Qwen/Qwen3-VL-2B-Instruct is a multimodal LLM that excels at lightweight vision‑language tasks such as visual question answering, document and UI understanding, and general image‑grounded chat, while being small enough for edge or resource‑constrained environments. Some other noteworthy use cases of Qwen/Qwen3-VL-2B-Instruct include OCR and document analysis across many languages, and agentic interactions that involve interpreting screen content or layouts before deciding on actions.
MetricValue
Parameter Count2 billion
Mixture of ExpertsNo
Context Length256,000 tokens
MultilingualYes
Quantized*No
*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.

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Example request

Use the Workbench as a request builder: configure parameters for this model in the UI, then open the API tab to copy the exact cURL or Python call.
curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "qwen3-vl-2b-instruct",
  "messages": [
    {
      "role": "user",
      "content": "Hello, what can you do?"
    }
  ]
}'

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Fetch model details

The models endpoint returns the full model object, including its json_request_schema. 
curl -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/ai/models/qwen3-vl-2b-instruct

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Request parameters

This model follows the standard OpenAI chat completions request body. See the chat completions reference for the full parameter list.