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MA CHAIN · 20260131
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Meta: Llama 3.2 3B Instruct

meta-llama/llama-3.2-3b-instruct

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...

Context
131K
Input MA / 1M
0.03
Output MA / 1M
0.198

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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One free message per account, no deposit needed. The reply is length-capped — it's a taste, not a quota.

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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":"meta-llama/llama-3.2-3b-instruct","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":"meta-llama/llama-3.2-3b-instruct","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": "meta-llama/llama-3.2-3b-instruct",
  "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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