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MiniMax M2.7 Metered Chat (Large Context, Telnyx Inference)
x402
MiniMax M2.7 Metered Chat (Large Context, Telnyx Inference) is a paid API for AI agents from x402.telnyx.com, paid per call via x402, $0.019977/call, status unknown (last checked 2026-10-15).
Sends a chat completion request to MiniMax M2.7 via Telnyx Inference with pay-per-call billing over x402, supporting large context inputs up to 200K characters.
Price / call$0.019977
Success—
StatusUnknown
How this service works
Frontier chat completions via Telnyx Inference (MiniMax M2.7). Reasoning tokens count toward max_tokens, so max_tokens must be 512–4096 (omit it for 4096). OpenAI-compatible. $0.007157 USDC per call — no API key, no signup, pay per request. (upto metered — large context)
Output
Returns an OpenAI-compatible chat completion object containing the assistant's message, finish reason, usage statistics (including reasoning token counts), and any tool call requests. Reasoning tokens count toward the max_tokens budget.
Example use cases
Long document summarization agent
“I've got a 150,000-character research report here. Can you use MiniMax M2.7 to summarize the main findings, methodology, and conclusions in about 1000 tokens? Set temperature to 0.2.”
Multi-turn reasoning assistant
“I need to walk through a complex legal reasoning problem step by step. Use MiniMax M2.7 with temperature 0.7 and up to 4096 tokens — here's the scenario: [legal scenario text].”
Tool-calling agent task
“I need to use MiniMax M2.7 to process a user query that may require calling one of these tools: [tool definitions]. The user asked: 'What's the current weather in Tokyo and how should I dress?' — run the completion with temperature 1.0 and max 2048 tokens.”
Technical details
Endpoint
POSThttps://x402.telnyx.com/v1/chat/completions/_t/mini/upto?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a frontier-tier reasoning model (MiniMax M2.7) with large context support and want pay-per-call billing without account signup or API key management. Prefer over sibling endpoints when the task requires deep reasoning over long documents or complex multi-step problems, and the ~$0.02/call price point is acceptable. Use the 'upto' (metered large context) variant when input context is substantial.
Side effects
- Payment failure if USDC balance is insufficient or x402 handshake fails
- max_tokens out of range (must be 512–4096) returns a 400 validation error
- Messages array exceeds 32 items or content exceeds 200,000 characters causes rejection
- Temperature out of 0–2 range returns validation error
- Network timeout on large context inputs
- Model unavailable on Telnyx Inference returns 503
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| n | integer | Fixed to one completion per paid call. |
| model | string | Model identifier; fixed to MiniMaxAI/MiniMax-M2.7 on this route. |
| tools | array | |
| messages | array | OpenAI-style chat messages. |
| max_tokens | integer | |
| temperature | number |
Tags
x402
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