x402engine Qwen3.7-Plus LLM API

x402

x402engine Qwen3.7-Plus LLM API is a paid API for AI agents from x402engine.app, paid per call via x402, $0.009663/call, status unknown (last checked 2026-10-18).

Runs inference on Alibaba's Qwen3.7-Plus large language model via pay-per-call HTTP 402 micropayment, returning OpenAI-compatible chat completions.

Price / call$0.009663

Seller volume →—

Success—

StatusUnknown

How this service works

x402engine — Alibaba's cost-effective Qwen 3.7 model — 1M context with strong coding and multilingual support

Output

An OpenAI-compatible JSON object containing the model name ('qwen/qwen3.7-plus'), a choices array with the assistant's message (role, content, tool_calls if applicable), finish_reason ('stop', 'tool_calls', etc.), and a top-level content shortcut field. If streaming is enabled, returns SSE chunks in OpenAI format.

Example use cases

Multilingual customer support drafting

“Use Qwen3.7-Plus to draft a polite reply to this customer complaint in both English and Mandarin: 'My order arrived damaged and I want a refund.' Return the two versions side by side.”

Tool-calling agent reasoning step

“Send this conversation thread to Qwen3.7-Plus with the search_web function definition attached, and let it decide whether to call the tool or answer directly based on the user asking about today's stock price for NVDA.”

Code generation for data pipeline

“Ask Qwen3.7-Plus to write a Python script that reads a CSV file, computes the mean and standard deviation for each numeric column, and outputs a summary JSON — include a system prompt saying it should prefer pandas.”

Technical details

Endpoint

POSThttps://x402engine.app/api/llm/qwen3.7-plus?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need Qwen3.7-Plus specifically — a model strong in multilingual (especially Chinese/English) tasks, coding, and reasoning — and want pay-per-call pricing via USDC micropayment rather than a monthly subscription. Prefer this over OpenAI or Anthropic endpoints when cost-per-call transparency matters, when you need Qwen's particular multilingual strengths, or when you want to avoid vendor lock-in with a usage-based model that supports OpenAI-compatible tool calling and streaming.

Side effects

Payment not settled — 402 response if USDC/USDm payment header is missing or insufficient
Invalid messages array — 400 if required 'messages' field is absent or malformed
Unsupported parameter — model may ignore or error on top_k/logprobs if not supported (see /docs/llm-capabilities.md)
Context length exceeded — model returns error if combined prompt exceeds token limit
Tool call schema invalid — malformed function definition causes 400 or unexpected behavior
Streaming timeout — SSE stream may drop if network is unstable after payment settles

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "model": "qwen/qwen3.7-plus",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "Hello!"
        },
        "finish_reason": "stop"
      }
    ],
    "content": "Hello!"
  }
}

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