# X402-NVIDIA Qwen3-Next-80B Chat Completions

> X402-NVIDIA Qwen3-Next-80B Chat Completions is a paid API for AI agents from x402-nvidia.vercel.app, paid per call via x402, $0.136724/call, status unknown (last checked 2026-09-13).

Run inference on NVIDIA's hosted Qwen3-Next-80B large language model via x402 micropayments, returning chat completion responses.

## Facts

- Endpoint: POST https://x402-nvidia.vercel.app/api/qwen3-next-80b
- Price: $0.136724/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/x402-nvidia-qwen3-next-80b-chat-completions-0744e128
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Tb7K0Tbwz4b9k9jQ9brji

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability x402-nvidia-qwen3-next-80b-chat-completions-0744e128 -d '<json body>'
```

Example prompt: Use the NVIDIA-hosted Qwen3-Next-80B model to answer this question: what are the key differences between transformer and state-space model architectures, explained at a graduate level?

## When to prefer this

Choose this endpoint when you need access to Qwen3-Next-80B specifically — a large 80B open-source model known for strong reasoning — without a long-term API subscription, paying only per call via USDC micropayments. Prefer over GPT/Claude endpoints when you want open-source model transparency or NVIDIA NIM's hardware-optimized inference.

## Known failure modes

- Payment failure: x402 micropayment of $0.136724 USDC not processed, request rejected
- Malformed input: missing or invalid message format in request body
- Model overload: NVIDIA NIM inference backend temporarily unavailable
- Context length exceeded: input prompt too long for Qwen3-Next-80B context window
- Vercel function timeout: inference taking longer than serverless timeout allows

## How this service works

Access 48+ NVIDIA NIM AI models via x402 micropayments. Chat completions, vision, safety, translation, and more.

## Output

A JSON object with a 'choices' array containing the model's response message, including the assistant role and the generated text content.

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "example": {
  "choices": [
   {
    "message": {
     "role": "assistant",
     "content": "Hello!"
    }
   }
  ]
 },
 "properties": {
  "choices": {
   "type": "array",
   "description": "Model responses"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/x402-nvidia-qwen3-next-80b-chat-completions-0744e128/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402-nvidia.vercel.app](https://www.zero.xyz/host/x402-nvidia.vercel.app/llms.txt)