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FarOut LLM Inference – Gemini 3.1 Pro via x402
x402
FarOut LLM Inference – Gemini 3.1 Pro via x402 is a paid API for AI agents from farouter.tech, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Runs a Gemini 3.1 Pro chat completion request, billed per-call in USDC over the x402 protocol with no API key or account required.
Price / call$0.001
Success—
StatusUnknown
How this service works
Fixed-price chat completions for gemini-3.1-pro on FarOut: flat $0.001 per call (includes up to 4,000 input + 1,000 output tokens). Rate: $0.072/1M input tokens, $0.432/1M output tokens. Pay with USDC on Base using x402. No API key, no account, no prepaid balance.
Output
Returns an OpenAI-compatible JSON object with a choices array containing the assistant's message text and finish reason, plus a usage object with prompt_tokens and completion_tokens counts.
Example use cases
Autonomous agent reasoning task
“I need you to use Gemini 3.1 Pro through FarOut to think through this logic puzzle step by step: 'If all bloops are razzles and all razzles are lazzles, are all bloops definitely lazzles?' Limit the response to 300 tokens and pay per call — no API key needed.”
Code generation for a script
“Ask Gemini 3.1 Pro via FarOut to write a Python function that takes a list of integers and returns the top 3 most frequent values, with docstring and type hints. Keep max_tokens at 500 and temperature at 0.2.”
Multi-turn chat for customer support draft
“Use FarOut's Gemini 3.1 Pro endpoint to continue this support conversation and draft a polite reply: system says 'You are a helpful customer support agent', user says 'My order hasn't arrived in 10 days, what do I do?' — 150 tokens max, streaming off.”
Technical details
Endpoint
POSThttps://farouter.tech/v1/models/gemini-3.1-pro/chat/completionsWhen to prefer
Choose this endpoint when an autonomous agent needs frontier LLM inference (specifically Gemini 3.1 Pro) without API key management or account setup, and can pay per-call in USDC via the x402 protocol. Ideal for agent-to-agent workflows, ephemeral agents, or scenarios where prepaid credits are impractical. Prefer over standard Google AI API when crypto-native payment rails and zero-signup access matter more than volume discounts.
Side effects
- Payment failure or insufficient USDC balance on Base — x402 payment rejected
- Invalid model ID not matching available models — 400 or 422 error
- messages array empty or missing required role/content fields — validation error
- max_tokens set too high for model context window — truncation or error
- Rate limiting or upstream Gemini API unavailability — 503 or timeout
- Malformed JSON body — 400 bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | Model id from GET /v1/models, e.g. glm-5.3. No provider prefix. |
| stream | boolean | SSE streaming. |
| messages | array | Chat messages, [OI]-compatible {role, content}. |
| max_tokens | integer | Output token budget. Drives the quote directly. |
| temperature | number | Sampling temperature. |
| max_completion_tokens | integer | Alias of max_tokens (gpt-5.x models). |
Output
Schema · Response
{
"type": "json",
"example": {
"usage": {
"prompt_tokens": 6,
"completion_tokens": 8
},
"choices": [
{
"message": {
"role": "assistant",
"content": "Hello! How can I help?"
},
"finish_reason": "stop"
}
]
}
}Tags
x402
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