{"uid":"cap_757cqdC-_4QgltN8qJ-lr","slug":"qwen3-27b-multi-step-reasoning-planning-api-e7a735d4","name":"Qwen3-27B Multi-Step Reasoning & Planning API","description":"Multi-step reasoning and planning, served by Qwen3.8-27B abliterated (Heretic) on a local RTX 5090 via vLLM.","url":"https://linked-aimed-reproduced-changing.trycloudflare.com/v1/reason?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"usage":{"type":"object"},"choices":{"type":"array"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_MsDrUxkxbml8eg026PdKC","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs multi-step reasoning and planning tasks using an uncensored Qwen3.8-27B model served locally via vLLM on an RTX 5090","exampleAgentPrompt":"Use the multi-step reasoning endpoint to work through this problem: given three interdependent software modules with circular dependencies, plan a refactoring strategy that breaks the cycles while preserving all public APIs.","exampleUseCases":[{"title":"Agentic task decomposition for a pipeline","prompt":"I have a complex data pipeline that needs to ingest CSVs, validate them, enrich with external lookups, and write to a database — can you reason through a step-by-step plan for building this, including error handling at each stage?"},{"title":"Logic puzzle chain-of-thought solving","prompt":"Walk me through a detailed multi-step reasoning chain to solve this: five people with different jobs live in five houses in a row, each drinks a different beverage — give me the full deductive inference to identify who owns the fish."},{"title":"Uncensored strategic planning for edge-case scenario","prompt":"I need a thorough reasoning breakdown of the risks and countermeasures for a penetration test on an isolated internal network — think through it step by step, including likely failure points and fallback strategies."}],"resultDescription":"Returns an OpenAI-compatible response object containing a reasoning chain or structured plan as the assistant message content, along with usage statistics and choices array reflecting the model's multi-step thought process.","failureModes":["Payment not received or x402 protocol failure — request rejected before inference","Model overloaded on local GPU — may return 503 or timeout under heavy concurrent load","Prompt too long for context window — returns error or truncated response","Cloudflare Tunnel instability causing connection drops mid-stream","Abliterated model may produce lower-quality refusals for truly malformed inputs rather than structured errors"],"whenToPreferThis":"Choose this endpoint when you need genuine multi-step reasoning or chain-of-thought planning, especially on problems that benefit from an uncensored model (edge cases, security research, adversarial scenarios). Prefer it over standard chat completions when the task requires decomposition into sub-steps rather than a single-shot answer. The local RTX 5090 hardware means low-latency inference for moderately long reasoning chains without cloud API rate limits.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T18:40:20.423Z","isFirstParty":false,"canonicalSlug":"qwen3-27b-multi-step-reasoning-planning-api-e7a735d4"}