Telnyx x402 Gateway – Llama 3.3 70B Chat Completions is a paid API for AI agents from x402.telnyx.com, paid per call via x402, $0.007016/call, status unknown (last checked 2026-10-10).
Runs OpenAI-compatible chat completions against Meta's Llama-3.3-70B-Instruct model, billed per-request in USDC via the x402 payment protocol.
Pay USDC per request for Telnyx Inference and Audio (text-to-speech, speech-to-text) through x402.
Returns an OpenAI-compatible chat.completion JSON object containing the assistant's reply message, finish reason (e.g. 'stop'), and token usage breakdown (prompt, completion, total tokens). The completion ID and object type are also included for logging.
POSThttps://x402.telnyx.com/v1/chat/completions/_t/llama-3.3-70b?utm_source=zero.xyzChoose this endpoint when you need a capable 70B-parameter open-weight LLM (Llama 3.3) with OpenAI-compatible chat format, want pay-per-request billing in USDC without a monthly subscription, and are operating in an agentic or automated context where x402 micropayment headers can be attached. Prefer it over subscription-based LLM APIs for sporadic or burstable workloads, or when crypto-native payment rails are required. Also suitable when you need tool-calling support (up to 16 tools) at a predictable per-call cost.
| Field | Type | Description |
|---|---|---|
| n | integer | Fixed to one completion per paid call. |
| model | string | Model identifier; fixed to meta-llama/Llama-3.3-70B-Instruct on this route. |
| tools | array | |
| messages | array | OpenAI-style chat messages. |
| max_tokens | integer | |
| temperature | number |
{
"type": "json",
"example": {
"id": "chatcmpl-xxx",
"usage": {
"total_tokens": 16,
"prompt_tokens": 12,
"completion_tokens": 4
},
"object": "chat.completion",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello!"
},
"finish_reason": "stop"
}
]
}
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