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LLM models

Gemini 3.6 Flash

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Google's newest speed-optimized multimodal model — fast text, vision, and reasoning.

modelIdgemini-3-6-flash
Modalitytext
PricingSee this model on the Pricing page for the current per-call price (with your markup).

Operations

OperationmodelIdEndpointRequired input
Defaultgemini-3-6-flashPOST /api/v1/generateprompt
Poll task—GET /api/v1/task/{id}?model=gemini-3-6-flash—

Input parameters

FieldTypeRequiredValues / example
promptstringYesText value (example: If gravity took the day off, describe in one playful paragraph what the morning commute would look like.)
imagesstring[]NoUp to 4 images per message — JPEG, PNG, GIF or WebP, 5 MB each. Send each one as a data: URL or an https URL. Images are billed as input tokens. (image URL)
streambooleanNoTurn off to get a single non-streaming response. (true/false) (example: true)
systemstringNoSystem instruction for the model. Defaults to "You are Gemini 3.6 Flash, developed by Google." when omitted.
messagesarrayNoA conversation instead of a single prompt: an array of { "role", "content" } objects, where role is user, assistant, system or tool (a function result, with tool_call_id); an assistant message may carry tool_calls instead of text — see tools. Send the whole conversation — we do not limit how many messages it has, and we do not drop old ones; the model's context window is the limit. Send prompt or messages, not both. Do not flatten a conversation into one prompt with "User:" / "Assistant:" labels — the model reads that as a single message, and a model using web search then searches for the whole block instead of your question.
toolsarrayNoFunctions the model may call, up to 64. Each is { "type": "function", "function": { "name", "description", "parameters" } } with parameters a JSON Schema object (the flat Responses form and Anthropic's { "name", "description", "input_schema" } are accepted too); strict: true is not accepted on this model. When the model calls one, the response carries toolCalls: run the function, then send the conversation back in messages with the assistant's tool_calls and one { "role": "tool", "tool_call_id", "content" } message per result — and the same tools again. Function calling cannot be combined with web search in the same request.
tool_choicestring | objectNoauto (the model decides; the default when tools is set). Other values are not available on this model and are refused before any charge.

Example request

bash
curl -X POST https://you.bot/api/v1/generate \
  -H "Authorization: Bearer $YOUBOT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"modelId":"gemini-3-6-flash","input":{"prompt":"If gravity took the day off, describe in one playful paragraph what the morning commute would look like.","images":["data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAIAAAACCAIAAAD91JpzAAAAFklEQVR4nGP8z4AATAxIHFQeMg8OAgB1yQIDpk8YwwAAAABJRU5ErkJggg=="],"stream":true}}'