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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 Mistral Small 3.1 in the Workbench

Run this model interactively, tune parameters, and compare outputs.
Model ID: mistral-small-2503 Mistral Small 3.1 is a 24 billion parameter Multimodal LLM designed for a wide range of generative AI tasks. It excels in instruction following, conversational assistance, image understanding, and function calling, while being lightweight enough to run on a single RTX 4090 or a Mac with 32GB RAM when quantized. Some other noteworthy features of Mistral Small 3.1 include fast-response conversational assistance, low-latency function calling, and the ability to be fine-tuned for specialized domains such as legal advice, medical diagnostics, and technical support.
MetricValue
Parameter Count24 billion
Mixture of ExpertsNo
Context Length128,000 tokens
MultilingualYes
Quantized*Yes
Precision*Unknown
*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": "mistral-small-2503",
  "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/mistral-small-2503

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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.