Model Access Gateway – MiniMax M3 Chat Completions (x402 USDC)

x402

Model Access Gateway – MiniMax M3 Chat Completions (x402 USDC) is a paid API for AI agents from modelaccessgateway.com, paid per call via x402, $0.0014/call, status unknown (last checked 2026-10-16).

Runs OpenAI-compatible chat completions using the MiniMax M3 model, billed per call in USDC on Base via x402 — no account or API key required.

Price / call$0.0014

Seller volume →—

Success—

StatusUnknown

How this service works

LLM inference API: OpenAI-compatible chat completions for 136 AI models (Claude, GPT, Gemini, Grok, DeepSeek, Qwen, Kimi, GLM), paid per call in USDC on Base with x402. No account, no API key, automatic refund if the model fails.

Output

Returns a JSON chat completion object following OpenAI's schema: a choices array containing the assistant's message content and finish_reason, the model name (minimax/minimax-m3), a usage object with prompt/completion/total token counts, a unique completion ID, and a created timestamp. Streaming mode returns server-sent events with incremental tokens.

Example use cases

Autonomous agent LLM calls without API keys

“I'm building an autonomous agent that needs to call MiniMax M3 for reasoning steps — use the Model Access Gateway so it pays per call in USDC without needing a registered API key. Send it this system message: 'You are a reasoning agent' and user message: 'What is the capital of France?', max 512 tokens.”

Tool-calling workflow with MiniMax M3

“Call MiniMax M3 through the pay-per-use gateway with tool calling enabled — here's my messages array: system 'You are a helpful assistant' and user 'What's the weather like in Tokyo?', pass in my weather tool definition, temperature 0, max 1024 tokens.”

Streaming MiniMax M3 response for live UI

“I need to stream a MiniMax M3 chat completion through the Model Access Gateway — system prompt 'You are a creative writer', user message 'Write me an opening paragraph for a sci-fi novel set on Mars', enable streaming, max 2000 tokens, temperature 1.0.”

Technical details

Endpoint

POSThttps://modelaccessgateway.com/llm/minimax-m3?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need MiniMax M3 specifically (strong multilingual and long-context capabilities) and want to avoid API key registration or subscription commitments — ideal for autonomous agents, one-off tasks, or multi-model pipelines where per-call USDC billing on Base is preferred over monthly quotas. The automatic refund on model failure makes it lower-risk than alternatives for agentic workloads.

Side effects

Payment failure or insufficient USDC balance — x402 payment rejected, no completion returned but automatic refund issued
Model error or timeout — MiniMax M3 unavailable, endpoint returns error and triggers automatic refund
Invalid messages array (empty or malformed) — 400 validation error
max_tokens out of range (must be 1–16384) — 400 validation error
temperature out of range (must be 0–2) — 400 validation error
Streaming requested but client drops connection mid-stream — partial response, payment may still be charged

Input

Schema · Request body

Field	Type	Description
model	string	Optional: fixed by the route (minimax/minimax-m3)
tools	array
stream	boolean	true: server-sent events after payment
messages	array
max_tokens	integer	Optional, default 4096
temperature	number
response_format	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "id": "chatcmpl-7f3c2a91",
    "model": "minimax/minimax-m3",
    "usage": {
      "total_tokens": 10,
      "prompt_tokens": 9,
      "completion_tokens": 1
    },
    "object": "chat.completion",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "OK"
        },
        "finish_reason": "stop"
      }
    ],
    "created": 1791979200
  }
}

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