Qwen3.5 LLM API (x402 Gateway)

x402

Qwen3.5 LLM API (x402 Gateway) is a paid API for AI agents from x402-gateway-production.up.railway.app, paid per call via x402, $0.006000/call, status unknown (last checked 2026-09-14, last successful call 2026-06-17).

Calls Alibaba's Qwen3.5 large language model with 1M context window for multilingual text and coding tasks via pay-per-call x402 gateway

Price / call$0.006000

Seller volume →—

Success10%

StatusUnknown

How this service works

Alibaba's latest model — 1M context, strong multilingual and coding capabilities

Output

Returns the model-generated text completion, code, translation, or reasoning output from Alibaba's Qwen3.5 model, which supports up to 1 million tokens of context and excels at multilingual and software engineering tasks.

Example use cases

Example prompt

“Use Qwen3.5 to write a Python function that parses ISO 8601 dates and explain how it handles edge cases — the context includes a 50,000-token codebase I've pasted in.”

Technical details

Endpoint

POSThttps://x402-gateway-production.up.railway.app/api/llm/qwen3.5

When to prefer

Choose this endpoint when you need a large-context LLM (up to 1M tokens), need strong multilingual capabilities (especially East Asian languages), or want Alibaba's Qwen model specifically as an alternative to OpenAI/Anthropic models. Useful for processing very long documents or codebases in a single call.

Side effects

Payment not attached or insufficient USDC — 402 Payment Required
Prompt exceeds 1M token context limit — context length error
Model unavailable or gateway timeout — 503 or 504 error
Malformed request body — 400 Bad Request
Rate limit exceeded — 429 Too Many Requests

Input

{
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ]
}

Output

{
  "model": "qwen/qwen3.5-plus-20260216",
  "usage": {
    "cost": 0.00049738,
    "is_byok": false,
    "cost_details": {
      "upstream_inference_cost": 0.00049738,
      "upstream_inference_prompt_cost": 0.00000286,
      "upstream_inference_completions_cost": 0.00049452
    },
    "total_tokens": 328,
    "prompt_tokens": 11,
    "completion_tokens": 317,
    "prompt_tokens_details": {
      "audio_tokens": 0,
      "video_tokens": 0,
      "cached_tokens": 0,
      "cache_write_tokens": 0
    },
    "completion_tokens_details": {
      "audio_tokens": 0,
      "image_tokens": 0,
      "reasoning_tokens": 303
    }
  },
  "content": "Hello! How can I assist you today?"
}

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How this service works

Alibaba's latest model — 1M context, strong multilingual and coding capabilities

Output

Technical details

Endpoint

POSThttps://x402-gateway-production.up.railway.app/api/llm/qwen3.5

When to prefer

Side effects

Payment not attached or insufficient USDC — 402 Payment Required
Prompt exceeds 1M token context limit — context length error
Model unavailable or gateway timeout — 503 or 504 error
Malformed request body — 400 Bad Request
Rate limit exceeded — 429 Too Many Requests

Input

{
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ]
}

Output

{
  "model": "qwen/qwen3.5-plus-20260216",
  "usage": {
    "cost": 0.00049738,
    "is_byok": false,
    "cost_details": {
      "upstream_inference_cost": 0.00049738,
      "upstream_inference_prompt_cost": 0.00000286,
      "upstream_inference_completions_cost": 0.00049452
    },
    "total_tokens": 328,
    "prompt_tokens": 11,
    "completion_tokens": 317,
    "prompt_tokens_details": {
      "audio_tokens": 0,
      "video_tokens": 0,
      "cached_tokens": 0,
      "cache_write_tokens": 0
    },
    "completion_tokens_details": {
      "audio_tokens": 0,
      "image_tokens": 0,
      "reasoning_tokens": 303
    }
  },
  "content": "Hello! How can I assist you today?"
}