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Mistral: Mistral Small 3

mistralai/mistral-small-24b-instruct-2501

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...

Context
33K
Input MA / 1M
0.03
Output MA / 1M
0.048

Billing follows the provider's own reported cost rather than the catalogue price — cached input is cheaper, and reasoning tokens bill as output. Your usage page is the record of what you actually paid.

Capabilities

ChatStructured

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Call it

Every model goes through the same endpoint — just use this page's ID as model.

curl https://macdecloud.com/v1/chat/completions \
  -H "Authorization: Bearer dcld-sk-..." \
  -H "Content-Type: application/json" \
  -d '{"model":"mistralai/mistral-small-24b-instruct-2501","messages":[{"role":"user","content":"Hello"}]}'

Streaming

Add "stream": true for token-by-token output over standard SSE.

curl -N https://macdecloud.com/v1/chat/completions \
  -H "Authorization: Bearer dcld-sk-..." \
  -H "Content-Type: application/json" \
  -d '{"model":"mistralai/mistral-small-24b-instruct-2501","stream":true,"messages":[{"role":"user","content":"hi"}]}'

Structured output

Supports response_format, so the model returns JSON matching a schema you give it instead of prose you have to parse.

{
  "model": "mistralai/mistral-small-24b-instruct-2501",
  "messages": [{ "role": "user", "content": "..." }],
  "response_format": {
    "type": "json_schema",
    "json_schema": {
      "name": "result",
      "schema": {
        "type": "object",
        "properties": { "answer": { "type": "string" } },
        "required": ["answer"]
      }
    }
  }
}
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