{"uid":"cap_BooKBd3iq0o77s2BJ117S","slug":"agent-hub-qwen3-30b-moe-chat-completions-82d0c1cf","name":"Agent Hub – Qwen3 30B MoE 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://agents.torbrooknews.com/v1/qwen and pay $0.002 per request with x402 instead of an API key. Same request/response shape as OpenAI (tool calling, reasoning, streaming supported), up to 4096 output tokens. Also callable as GET with the same fields as query parameters.","url":"https://agents.torbrooknews.com/v1/qwen/chat/completions?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$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":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","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":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_8GYb57KqBoBp-BPVLc1m0","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Provides OpenAI-compatible chat completions using Alibaba Qwen3 30B mixture-of-experts, a thinking model with tool calling, at $0.002 per request paid via x402.","exampleAgentPrompt":"Using the Qwen3 30B model, answer this question with up to 2048 tokens and a temperature of 0.7: 'What are the key trade-offs between mixture-of-experts and dense transformer architectures?'","exampleUseCases":[{"title":"Cheap agentic reasoning with tool calling","prompt":"I need to run a reasoning step with tool calling for my agent pipeline — use the Qwen3 30B model, send the prompt 'Given the user's purchase history, recommend the top 3 products', and keep it under 1024 tokens to save cost."},{"title":"Draft technical documentation on a budget","prompt":"Generate a concise technical explanation of how transformer attention works, using the Qwen3 thinking model with a temperature of 0.5 and max 512 tokens — I want the cheapest option available."},{"title":"System-prompted customer support reply","prompt":"With the system message 'You are a polite customer support agent for an e-commerce store', reply to this customer message: 'My order hasn't arrived after 10 days, what should I do?' — use Qwen3 30B and keep the output under 256 tokens."}],"resultDescription":"Returns an OpenAI-compatible chat completion response object containing the generated text (and optionally tool call data or reasoning traces), with up to 4096 output tokens. Supports streaming.","failureModes":["Payment failure if x402 USDC balance is insufficient","Prompt or system message too long for context window","Invalid parameter types (e.g. non-numeric temperature) causing 400 error","Model timeout or availability issue causing 5xx error","Tool call schema mismatch if tool definitions are malformed"],"whenToPreferThis":"Choose this endpoint when you need the cheapest available OpenAI-compatible chat completion with tool calling and reasoning support, especially for high-volume agentic workflows where cost per call matters. Prefer it over the Llama or Nemotron siblings when Alibaba Qwen3's mixture-of-experts architecture fits your reasoning needs and you want the lowest per-request cost on the hub.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T04:10:53.333Z","isFirstParty":false,"canonicalSlug":"agent-hub-qwen3-30b-moe-chat-completions-82d0c1cf"}