{"uid":"cap_1bKWnQ644gbpyQCxyRblI","slug":"agentrxi-large-llama-3-3-70b-chat-completions-6dc89a23","name":"AgentRXI Large (Llama 3.3 70B) Chat Completions","description":"OpenAI-compatible chat completions on Meta Llama 3.3 70B, strong general chat with tool calling. Set your OpenAI SDK base URL to https://agentrxi.com/v1/large and pay per token with x402 instead of an API key: $0.879 per million input and $6.759 per million output tokens, minimum $0.002 a call, at most $0.0219. The 402 quotes your request's maximum; \"upto\" payers are charged only the tokens used. Same request/response shape as OpenAI (tool calling, streaming supported), up to","url":"https://agentrxi.com/v1/large/chat/completions?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET"],"type":"string"},"queryParams":{"type":"object","required":["prompt"],"properties":{"prompt":{"type":"string","description":"User message"},"system":{"type":"string","description":"Optional system message"},"max_tokens":{"type":"integer"},"temperature":{"type":"number"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"id":"chatcmpl-...","model":"llama-3.3-70b","usage":{"total_tokens":18,"prompt_tokens":14,"completion_tokens":4},"object":"chat.completion","choices":[{"index":0,"message":{"role":"assistant","content":"Bonjour !"},"finish_reason":"stop"}]}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.008939","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.008939/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.008939","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.008939","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_QQrllVE_Yo1QBkL3Up1Yw","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.008939","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"OpenAI-compatible chat completions via Meta Llama 3.3 70B with tool calling and streaming, billed per token via x402 micropayments","exampleAgentPrompt":"Using the Llama 3.3 70B model, answer this question with up to 500 tokens: 'Explain the key differences between transformer and mamba architectures in neural networks.'","exampleUseCases":[{"title":"Agentic tool-calling workflow","prompt":"I need you to use the Llama 3.3 70B endpoint to handle a multi-step task with tool calls — figure out today's weather in Tokyo and then summarize what clothes I should pack, using up to 300 output tokens."},{"title":"Complex reasoning on a budget","prompt":"Ask the Llama 70B model to reason through this logic puzzle step by step with a temperature of 0.2 and cap it at 400 tokens: 'If all bloops are razzles and all razzles are lazzles, are all bloops definitely lazzles?'"},{"title":"Creative writing generation","prompt":"Have the large Llama model write a short sci-fi story opening paragraph about a Mars colony in 2150, keep it under 200 tokens and use a temperature of 0.9 for creativity."}],"resultDescription":"Returns an OpenAI-format chat.completion JSON object containing the assistant's message (or tool call), finish reason, model name, and token usage breakdown (prompt, completion, total tokens). Streaming is supported for incremental response delivery.","failureModes":["Insufficient x402 payment balance causes 402 Payment Required before completion","max_tokens limit reached returns finish_reason: length instead of stop","Network timeout on long completions with large max_tokens values","Malformed prompt or missing required fields returns 400 Bad Request","Tool calling schema errors may result in garbled or empty tool_calls array"],"whenToPreferThis":"Choose this endpoint when you need a powerful 70B-class open-source model (Llama 3.3) with OpenAI SDK compatibility, tool calling, and streaming, without committing to a monthly API key subscription — especially suited for pay-per-use agentic workflows billed via x402 micropayments. Prefer over smaller sibling models (e.g. Qwen Coder 32B) when the task requires strong general reasoning, instruction following, or complex multi-turn dialogue.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:06.433Z","isFirstParty":false,"canonicalSlug":"agentrxi-large-llama-3-3-70b-chat-completions-6dc89a23"}