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x402engine Gemini 3 Pro LLM API
x402
x402engine Gemini 3 Pro LLM API is a paid API for AI agents from x402engine.app, paid per call via x402, $0.028883/call, status unknown (last checked 2026-10-12).
Calls Google Gemini 3 Pro via a pay-per-call HTTP 402 micropayment endpoint, returning an OpenAI-compatible chat completion response
Price / call$0.028883
Success—
StatusUnknown
How this service works
125 production APIs behind HTTP 402 micropayments. 87 LLMs, Kling V3 and Hailuo video generation, image generation, code execution, travel search, web scraping, TTS, and transaction simulation. Pay with USDC on Base, USDm on MegaETH, or USDC on Solana.
Output
An OpenAI-compatible JSON object containing the model name ('google/gemini-3.1-pro-preview'), a choices array with the assistant message (role, content, finish_reason), and a top-level 'content' shortcut field. When streaming is enabled, returns SSE events in OpenAI format.
Example use cases
Multimodal document analysis
“I have a scanned PDF contract — send it to Gemini 3 Pro and ask it to extract all payment terms, deadlines, and penalty clauses, then return the results as a structured list.”
Agentic tool-calling workflow
“Use Gemini 3 Pro with my get_weather and send_email function definitions to figure out if it will rain in Seattle this weekend and, if so, automatically draft a heads-up email to the team — show me the tool calls it makes.”
Streaming creative writing
“Have Gemini 3 Pro write a 500-word short story about a time-traveling librarian, stream the output so I can read it as it generates, and use seed 42 so I can reproduce the result later.”
Technical details
Endpoint
POSThttps://x402engine.app/api/llm/gemini-3-pro?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need Google Gemini 3 Pro's capabilities (large context window, multimodal input including PDFs, images, and video, strong reasoning) and want to pay per-call via crypto micropayment without managing an API key subscription. Prefer over OpenAI or Anthropic endpoints when the task benefits from Gemini's native file-parsing plugin or when cost-per-call billing via USDC on Base/Solana or USDm on MegaETH is preferred over subscription pricing.
Side effects
- Payment not settled — 402 returned if USDC/USDm balance is insufficient or payment header is missing
- Invalid messages array — 422 if required 'messages' field is absent or malformed
- Unsupported capability — model may not support all optional fields (seed, stop, top_p); check /docs/llm-capabilities.md
- Context length exceeded — error if the combined message tokens exceed Gemini 3 Pro's context window
- Streaming timeout — long responses may time out if network is unstable during SSE stream
- Rate limit — x402engine may throttle excessive requests from a single wallet
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "google/gemini-3.1-pro-preview",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello!"
},
"finish_reason": "stop"
}
],
"content": "Hello!"
}
}Tags
x402
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Zero review prompt (fires after every successful call)
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