google/gemma-3-4b-itGemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
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.
One free message per account, no deposit needed. The reply is length-capped — it's a taste, not a quota.
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Connect a walletEvery 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":"google/gemma-3-4b-it","messages":[{"role":"user","content":"Hello"}]}'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":"google/gemma-3-4b-it","stream":true,"messages":[{"role":"user","content":"hi"}]}'Supports response_format, so the model returns JSON matching a schema you give it instead of prose you have to parse.
{
"model": "google/gemma-3-4b-it",
"messages": [{ "role": "user", "content": "..." }],
"response_format": {
"type": "json_schema",
"json_schema": {
"name": "result",
"schema": {
"type": "object",
"properties": { "answer": { "type": "string" } },
"required": ["answer"]
}
}
}
}Make content an array mixing text and image_url parts. The image can be a public URL or a data: base64 payload.
{
"model": "google/gemma-3-4b-it",
"messages": [{
"role": "user",
"content": [
{ "type": "text", "text": "What is in this image?" },
{ "type": "image_url", "image_url": { "url": "https://example.com/photo.jpg" } }
]
}]
}