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x402engine GPT-6.1 Sol LLM API
x402
x402engine GPT-6.1 Sol LLM API is a paid API for AI agents from x402engine.app, paid per call via x402, $0.035735/call, status unknown (last checked 2026-10-22).
Pay-per-call access to OpenAI's GPT-6.1 Sol model via HTTP 402 micropayments, supporting agentic coding, document-heavy tasks, tool use, and multimodal inputs
Price / call$0.035735
Success—
StatusUnknown
How this service works
x402engine — GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...
Output
Returns an OpenAI-compatible JSON object with the model name, an array of choices each containing the assistant message (role, content, tool_calls), and a finish_reason such as 'stop' or 'tool_calls'. Streaming mode delivers OpenAI-compatible SSE chunks after payment settlement.
Example use cases
Agentic coding assistant with tool calls
“Use GPT-6.1 Sol to help me write a Python script that scrapes job listings — give it access to my search_web and read_file tools so it can iterate on the code and fix errors autonomously.”
Document-heavy professional analysis
“I've got a 40-page financial report PDF — run it through GPT-6.1 Sol and pull out all the revenue figures, growth percentages, and risk factors mentioned in the document.”
Streaming chat completion for a customer app
“Send this conversation history to GPT-6.1 Sol with a system prompt saying 'You are a friendly support agent for Acme Corp' and stream the reply back to me in real time so I can display it token by token.”
Technical details
Endpoint
POSThttps://x402engine.app/api/llm/gpt-6.1-sol?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need GPT-6.1 Sol specifically — a capable OpenAI model suited for agentic coding, computer use, and document-heavy professional tasks — without a direct OpenAI API key, paying only per call via USDC micropayments. Prefer over GPT-6 Astra endpoints when cost is a concern and flagship-level performance is not strictly required. Best for autonomous agents that need tool use, PDF parsing, and streaming support in a single pay-as-you-go endpoint.
Side effects
- Payment not settled — 402 returned if USDC micropayment fails or is insufficient
- Invalid messages array — missing required 'role' or content fields returns a validation error
- Unsupported tool schema — malformed function definitions may cause rejection
- Context length exceeded — very long message arrays or large PDFs may exceed model limits
- Streaming not supported in all client configurations — SSE requires compatible HTTP client
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "openai/gpt-6.1-sol",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello!"
},
"finish_reason": "stop"
}
],
"content": "Hello!"
}
}Tags
x402
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