Use this model when
- The workload fits the text or chat tasks shown in this model's current catalog record.
- The input fits within the published 96K-token context record, with output and system overhead budgeted separately.
mistral-small-3.2-24b-instruct:freeMistral Small 3.2 24B (Free) by Mistral AI.
Select an endpoint and copy a working example for this model.
from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.apertis.ai/v1") response = client.chat.completions.create( model="mistral-small-3.2-24b-instruct:free", messages=[ {"role": "user", "content": "Hello!"} ], max_tokens=1024, temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(# model="mistral-small-3.2-24b-instruct:free",# messages=[{"role": "user", "content": "Hello!"}],# extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )modelmessagesmax_tokenstemperaturetop_pstreamtoolsreasoning_effortstream_optionsthinkingextra_bodyUse these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.
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No observed failures in the current observation window