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x402engine MiMo-V2.6-Pro LLM API
x402
x402engine MiMo-V2.6-Pro LLM API is a paid API for AI agents from x402engine.app, paid per call via x402, $0.004413/call, status unknown (last checked 2026-10-20).
Runs inference on Xiaomi's MiMo-V2.6-Pro 1T+ parameter foundation model via pay-per-call micropayments
Price / call$0.004413
Success—
StatusUnknown
How this service works
x402engine — MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...
Output
Returns an OpenAI-compatible JSON response containing the model name ('xiaomi/mimo-v2.6-pro'), a choices array with the assistant message (role, content, tool_calls if any), a finish_reason ('stop', 'tool_calls', etc.), and a top-level content field. Streaming mode returns SSE events in OpenAI format.
Example use cases
Complex reasoning task offload
“Use Xiaomi's MiMo model to reason through this logic puzzle and show its work step by step: 'If all bloops are razzies, and all razzies are lazzies, are all bloops definitely lazzies? Explain why.'”
Agentic tool-calling workflow
“I need you to call MiMo-V2.6-Pro with a function definition for 'get_weather(city: string)' and ask it to retrieve the weather for Tokyo — I'll handle the actual function execution and feed the result back.”
Drafting long-form technical content
“Have MiMo-V2.6-Pro write a detailed technical blog post about the differences between transformer attention mechanisms and state space models, targeting an audience of ML engineers, around 800 words.”
Technical details
Endpoint
POSThttps://x402engine.app/api/llm/mimo-v2.6-pro?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a very large (1T+ parameter) frontier model for demanding reasoning, coding, or long-context tasks and want pay-per-call pricing without a monthly subscription. Prefer MiMo-V2.6-Pro specifically when working with Xiaomi's model ecosystem or when benchmarks show it outperforms other available models for your task. Use x402engine's version when you want OpenAI-compatible function calling and streaming with USDC micropayment settlement via x402 protocol.
Side effects
- Payment not settled — 402 response if USDC micropayment fails
- Invalid messages format — 422 validation error if required 'messages' array is missing or malformed
- Unsupported parameter values — model may ignore or error on out-of-range top_p/top_k/min_p values
- Context length exceeded — very long message arrays may be truncated or rejected
- Streaming not available — SSE may fail if payment settlement hasn't completed before stream starts
- Tool call format errors — malformed function definitions cause schema validation failures
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "xiaomi/mimo-v2.6-pro",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello!"
},
"finish_reason": "stop"
}
],
"content": "Hello!"
}
}Tags
x402
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