{"uid":"cap_FLSKr4t9fMc2RuppSOxRY","slug":"qwen3-32b-llm-chat-completion-ari001-699c5700","name":"Qwen3-32B LLM Chat Completion (ari001)","description":"","url":"https://ari001.tailb4ac3a.ts.net/v1/ventures/llm_chat_api/qwen3_32b?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method","bodyType","body"],"properties":{"body":{"type":"object","required":["messages"],"properties":{"messages":{"type":"array","items":{"type":"object","required":["role","content"],"properties":{"role":{"enum":["system","user","assistant"]},"content":{"type":"string"}}},"maxItems":32,"minItems":1},"max_tokens":{"type":"integer","maximum":1024,"minimum":1}}},"type":{"type":"string","const":"http"},"method":{"enum":["POST","PUT","PATCH"],"type":"string"},"bodyType":{"enum":["json","form-data","text"],"type":"string"}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","required":["ok","service"],"properties":{"ok":{"type":"boolean"},"error":{"type":"string","description":"present when ok is false"},"model":{"type":"string"},"usage":{"type":"object","properties":{"prompt_tokens":{"type":["integer","null"]},"completion_tokens":{"type":["integer","null"]}}},"method":{"type":"string"},"message":{"type":"object","properties":{"role":{"const":"assistant"},"content":{"type":"string"}}},"service":{"type":"string"}}}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.003","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"$0.003/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_X4OHyD7TRkO1GhHlVnVz-","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.003","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs OpenAI-style chat completions using the Qwen3-32B language model, returning the assistant reply, model name, and token usage.","exampleAgentPrompt":"Ask Qwen3-32B: given the conversation so far — system: 'You are a helpful assistant', user: 'Explain the difference between supervised and unsupervised learning in 3 sentences' — get me the reply, and keep it under 300 tokens.","exampleUseCases":[{"title":"On-demand Q&A for a knowledge bot","prompt":"I need you to send this conversation to the Qwen3-32B model and get back an answer: system message is 'You are a concise technical assistant', and the user asked 'What is the difference between TCP and UDP?' — cap the response at 512 tokens."},{"title":"Summarization inside an automated pipeline","prompt":"Take this article excerpt and have Qwen3-32B summarize it in 2 sentences: [article text here]. Use a system prompt that says 'Summarize the following text concisely' and limit output to 200 tokens."},{"title":"Multi-turn customer support draft generation","prompt":"I have a 3-turn support conversation where the customer is frustrated about a delayed shipment. Send the full message history to Qwen3-32B with a system prompt saying 'You are a polite customer support agent' and generate a de-escalating reply, up to 400 tokens."}],"resultDescription":"Returns a JSON object with: a boolean 'ok' field, the assistant's reply message (role: assistant, content: string), the model identifier string, and a usage object with prompt_tokens and completion_tokens counts. On failure, includes an 'error' string.","failureModes":["Messages exceed 16,000 total characters — request rejected","max_tokens set above 1024 — validation error","messages array is empty or missing required role/content fields — schema validation failure","Network or model inference timeout — error response with ok: false","Invalid message role value (not system/user/assistant) — rejected by schema"],"whenToPreferThis":"Choose this endpoint when you need a capable 32B-parameter instruction-following model (Qwen3-32B) via an OpenAI-compatible chat interface, with pay-per-call micropayment pricing ($0.003 USDC) and no API key management. Prefer it over the sibling Llama-3.1-8B endpoint when task quality matters more than cost, and over DeepSeek-V3.2 when you specifically want Qwen3's multilingual or reasoning strengths.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T18:43:27.155Z","isFirstParty":false,"canonicalSlug":"qwen3-32b-llm-chat-completion-ari001-699c5700"}