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Telnyx Inference – Llama-3.3-70B Chat Completions (Large Context)
x402
Telnyx Inference – Llama-3.3-70B Chat Completions (Large Context) is a paid API for AI agents from x402.telnyx.com, paid per call via x402, $0.044559/call, status unknown (last checked 2026-10-15).
OpenAI-compatible chat completions using Meta Llama-3.3-70B-Instruct via Telnyx, priced per call with large context support
Price / call$0.044559
Success—
StatusUnknown
How this service works
Chat completions via Telnyx Inference (meta-llama/Llama-3.3-70B-Instruct). OpenAI-compatible. $0.007016 USDC per call. (upto metered — large context)
Output
Returns an OpenAI-compatible chat completion object containing the assistant's response message, finish reason, and token usage statistics. Tool call payloads are included when tools are invoked.
Example use cases
Agentic reasoning with tool use
“I need you to call the Telnyx Llama-3.3-70B endpoint with tool definitions for 'search_web' and 'read_file', then send this user message: 'Find me recent news about fusion energy and summarize it.' Use temperature 0.5 and up to 2048 tokens.”
Long-form content drafting
“Draft a detailed 800-word blog post about the future of electric vehicles — use the Telnyx Llama 70B model, set temperature to 0.9 and max tokens to 2000, with the system prompt 'You are an expert technology writer.'”
Structured data extraction from unstructured text
“I have a dense legal contract excerpt — use the Telnyx Llama-3.3-70B model with temperature 0 and max 512 tokens to extract the key parties, obligations, and deadlines as a structured list. Here's the text: 'Party A agrees to deliver software by March 31...'”
Technical details
Endpoint
POSThttps://x402.telnyx.com/v1/chat/completions/_t/llama-3.3-70b/upto?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a powerful 70B-parameter instruction-tuned open model (Llama 3.3) with a large context window, OpenAI-compatible message format, pay-per-call USDC pricing via x402, and optional tool-calling support — especially when you want to avoid subscription-based LLM providers or need on-demand metered inference with no API key management.
Side effects
- Payment failure: x402 payment not accepted, returns 402 with payment requirements
- Context overflow: messages exceed 200,000 character per-message or 32-message limit, returns 400
- Invalid role: message role not in [system, user, assistant, tool], returns 400
- Model mismatch: model field set to anything other than meta-llama/Llama-3.3-70B-Instruct, rejected
- max_tokens out of range: value below 1 or above 4096 returns validation error
- Too many tools: more than 16 tool definitions supplied, returns 400
- Inference timeout: large context requests may time out under heavy load
Input
Schema · Request body
| 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 |
Tags
x402
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