The mistral-small model is a cost-efficient reasoning model designed for low-latency workloads. It leverages the Mixtral-8X7B-v0.1 architecture, which incorporates a sparse mixture of experts with 12B active parameters. With improved reasoning capabilities, the model demonstrates a broad range of functionalities, including code generation and reasoning. It also supports multiple languages such as English, French, German, Italian, and Spanish, making it a versatile option for various linguistic tasks.
from openai import OpenAI client = OpenAI( base_url="https://api.respan.ai/api/", api_key="YOUR_RESPAN_API_KEY",) response = client.chat.completions.create( model="mistral/mistral-small", messages=[{"role": "user", "content": "Hello!"}],)print(response.choices[0].message.content)from openai import OpenAI client = OpenAI( base_url="https://api.respan.ai/api/", api_key="YOUR_RESPAN_API_KEY",) response = client.chat.completions.create( model="mistral/mistral-small", messages=[{"role": "user", "content": "Hello!"}],)print(response.choices[0].message.content)Gateway routes for this model on the Respan gateway, including fallback routes when configured.
Other models from the same provider available through the gateway.
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