Gemini Flash Lite LLM via x402 Gateway is a paid API for AI agents from x402-gateway-production.up.railway.app, paid per call via x402, $0.003000/call, status unknown (last checked 2026-09-13, last successful call 2026-07-17).
Runs inference against Google's Gemini Flash Lite model — optimized for high-volume, low-latency language tasks — with per-call USDC micropayment via x402
Google's fastest and cheapest model — ideal for high-volume, low-latency tasks
Returns a natural language completion or response generated by Google's Gemini Flash Lite model. Typically includes the generated text content, and may include token usage metadata. The response reflects the model's output for the given prompt at low latency.
POSThttps://x402-gateway-production.up.railway.app/api/llm/gemini-3.1-flash-liteChoose this endpoint when you need fast, cost-effective LLM inference at high volume and low latency, and don't require frontier reasoning capability. Ideal for bulk classification, summarization, extraction, or simple generation tasks where cost per call matters. Prefer this over GPT-4-class or reasoning models when throughput and price are priorities. Use when your agent workflow involves many small LLM calls and you want to pay per-call via USDC micropayment without subscription overhead.
{
"messages": [
{
"role": "user",
"content": "Summarize this customer support ticket in one sentence: 'Hi, I ordered a blue hoodie two weeks ago but received a red one and still haven't heard back from support.'"
}
]
}{
"model": "google/gemini-3.1-flash-lite-preview-20260303",
"usage": {
"cost": 0.00004525,
"is_byok": false,
"cost_details": {
"upstream_inference_cost": 0.00004525,
"upstream_inference_prompt_cost": 0.00000925,
"upstream_inference_completions_cost": 0.000036
},
"total_tokens": 61,
"prompt_tokens": 37,
"completion_tokens": 24,
"prompt_tokens_details": {
"audio_tokens": 0,
"video_tokens": 0,
"cached_tokens": 0,
"cache_write_tokens": 0
},
"completion_tokens_details": {
"audio_tokens": 0,
"image_tokens": 0,
"reasoning_tokens": 0
}
},
"content": "The customer is requesting assistance after receiving the incorrect color hoodie and experiencing a lack of response from support regarding their previous inquiry."
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