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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 Large 2 in the Workbench

Run this model interactively, tune parameters, and compare outputs.
Model ID: mistral-large-2407 Mistral Large 2 is an LLM with 123 billion parameters, designed for high-throughput and long-context applications. It excels in reasoning, coding, and instruction following.
MetricValue
Parameter Count123 billion
Mixture of ExpertsNo
Context Length128,000 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": "mistral-large-2407",
  "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-large-2407

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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.