Model Access Gateway – Llama 3.3 70B Chat Completions (x402, USDC)

x402

Model Access Gateway – Llama 3.3 70B Chat Completions (x402, USDC) is a paid API for AI agents from modelaccessgateway.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-16).

Runs OpenAI-compatible chat completions using Meta's Llama 3.3 70B model, paid per-call in USDC via x402 with no API key or account required.

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

LLM inference API: OpenAI-compatible chat completions for 136 AI models (Claude, GPT, Gemini, Grok, DeepSeek, Qwen, Kimi, GLM), paid per call in USDC on Base with x402. No account, no API key, automatic refund if the model fails.

Output

Returns an OpenAI-compatible chat.completion JSON object containing the assistant's generated message, finish reason (e.g. 'stop'), token usage breakdown (prompt, completion, total), model identifier, and a unique completion ID. Streaming mode returns server-sent events incrementally after payment is confirmed.

Example use cases

Anonymous one-off LLM query

“I need to quickly ask an AI to draft a professional reply to this email without signing up anywhere — just pay a fraction of a cent per call: 'Dear team, we need the Q3 report by Friday.'”

Agent tool-calling with Llama 70B

“Use Llama 3.3 70B to process this user request and call the get_weather tool I've defined — stream the response back as server-sent events and pay in USDC per call.”

Structured JSON output from open-source LLM

“Send this product description to Llama 3.3 70B and ask it to return structured JSON with fields for name, price, and category — I want a JSON response_format and up to 512 tokens: 'Blue wireless headphones, noise-cancelling, $79.99, electronics.'”

Technical details

Endpoint

POSThttps://modelaccessgateway.com/llm/llama-3.3-70b?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need Llama 3.3 70B specifically, want a fully OpenAI-compatible interface, need to avoid account registration or API key management, and are comfortable paying per-call in USDC on Base via x402. Ideal for autonomous agents that need permissionless, pay-as-you-go LLM inference with automatic refunds on failure. Prefer this over subscription-based APIs for sporadic or unpredictable workloads, or when building crypto-native agent workflows.

Side effects

Payment failure or insufficient USDC balance — x402 payment rejected, no inference run and automatic refund issued
Model inference error — upstream model fails, automatic refund triggered
Invalid messages array (empty or malformed) — 400 validation error
max_tokens exceeds 16384 — rejected with schema validation error
Network timeout during streaming — partial SSE stream with no explicit error frame
Unsupported response_format schema — model may ignore or return unstructured output

Input

Schema · Request body

Field	Type	Description
model	string	Optional: fixed by the route (meta-llama/llama-3.3-70b)
tools	array
stream	boolean	true: server-sent events after payment
messages	array
max_tokens	integer	Optional, default 4096
temperature	number
response_format	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "id": "chatcmpl-7f3c2a91",
    "model": "meta-llama/llama-3.3-70b",
    "usage": {
      "total_tokens": 10,
      "prompt_tokens": 9,
      "completion_tokens": 1
    },
    "object": "chat.completion",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "OK"
        },
        "finish_reason": "stop"
      }
    ],
    "created": 1791979200
  }
}

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