{"uid":"cap_C5qsVxK1Zj-15LMaPi9HP","slug":"agentrxi-qwen3-30b-chat-completions-4b1ef08d","name":"AgentRXI Qwen3-30B Chat Completions","description":"OpenAI-compatible chat completions on Alibaba Qwen3 30B mixture-of-experts, thinking model with tool calling, the cheapest chat here. Set your OpenAI SDK base URL to https://agentrxi.com/v1/qwen and pay per token with x402 instead of an API key: $0.153 per million input and $1.005 per million output tokens, minimum $0.002 a call, at most $0.0072. The 402 quotes your request's maximum; \"upto\" payers are charged only the tokens used. Same request/response shape as OpenAI (tool ","url":"https://agentrxi.com/v1/qwen/chat/completions?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$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":"qwen3-30b-a3b","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":"0.004062","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":"$0.004062/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.004062","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.004062","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_5Mfk7e4Zk1FKV25vF71rf","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.004062","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 using Alibaba Qwen3 30B mixture-of-experts thinking model with tool calling, billed per token via x402 micropayments","exampleAgentPrompt":"Ask the Qwen3 30B thinking model: 'What are three pros and cons of renewable energy?' — keep the answer under 200 tokens and use a neutral, analytical tone.","exampleUseCases":[{"title":"Tool-calling agent reasoning step","prompt":"I need you to call Qwen3 30B with a system prompt saying 'You are a helpful data analyst' and a user message asking it to extract the top 3 trends from this sales data, with tool calling enabled so it can invoke my data-fetch tool."},{"title":"Budget LLM for high-volume summarization","prompt":"Summarize this 500-word article into 3 bullet points using the cheapest available LLM — I want to keep costs low since I'm running thousands of these, so use Qwen3 30B with max_tokens set to 100."},{"title":"Multilingual reply generation","prompt":"Translate and respond to this customer message in French using the Qwen3 reasoning model: 'I need help resetting my password.' Keep the tone polite and limit the reply to 80 tokens."}],"resultDescription":"Returns an OpenAI-compatible chat.completion JSON object including the assistant's message content, finish reason (e.g. 'stop'), role, token usage breakdown (prompt, completion, total), model name ('qwen3-30b-a3b'), and any tool calls if invoked. The response mirrors the exact OpenAI chat completions response shape.","failureModes":["Insufficient x402 payment: returns HTTP 402 if the micropayment is missing or too low","Prompt too long: exceeds model context window, returns an error","Invalid input schema: missing required 'prompt' query parameter causes a 400 error","Rate limiting or model unavailability: may return 503 during high load","Temperature or max_tokens out of range: may cause validation errors"],"whenToPreferThis":"Choose this endpoint when you need the cheapest available chat completion with tool calling support and don't want to manage an API key — ideal for high-volume, cost-sensitive agentic pipelines that already use x402 micropayments. Prefer over GPT-4 or Claude when budget is the primary constraint and Qwen3's mixture-of-experts reasoning quality is sufficient. Best when you are already using the OpenAI SDK and just want to swap the base URL.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:28.121Z","isFirstParty":false,"canonicalSlug":"agentrxi-qwen3-30b-chat-completions-4b1ef08d"}