{"uid":"cap_edSlQJlibJoP7rjx8bj9o","slug":"multi-model-research-analysis-bb8bf936","name":"Multi-Model Research Analysis","description":"Run one live-web research task through 2–7 buyer-selected open-weight models. Every model receives the same retrieved evidence and returns a separate structured analysis with citations, latency, usage, and validation results. No ranking or synthesis.","url":"https://api.ai-open-models.com/v1/research/compare?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"models":{"type":"array","items":{"enum":["moonshotai/kimi-k3","Qwen/Qwen3.6-35B-A3B","zai-org/GLM-5.2","zai-org/GLM-5.3","zai-org/GLM-5.3-Flash","Qwen/Qwen3.8-27B","deepseek-ai/DeepSeek-V4.1-Flash"],"type":"string"},"maxItems":7,"minItems":2,"description":"Required list of 2 to 7 buyer-selected open-weight models. Every model receives the same retrieved evidence.","uniqueItems":true},"category":{"enum":["company","publication","news","personal site","financial report","people"],"type":"string","description":"Optional Exa search category."},"objective":{"type":"string","maxLength":4000,"minLength":1,"description":"The live-web research task every selected model must analyze."},"max_tokens":{"type":"integer","default":2048,"maximum":4096,"minimum":1024,"description":"Maximum completion tokens reserved separately for every selected model."},"num_results":{"type":"integer","default":5,"maximum":10,"minimum":1,"description":"Maximum number of ranked web sources to retrieve and read. Each source affects the x402 price."},"exclude_domains":{"type":"array","items":{"type":"string","maxLength":253,"minLength":1},"maxItems":10,"description":"Optional domain blocklist for web retrieval.","uniqueItems":true},"include_domains":{"type":"array","items":{"type":"string","maxLength":253,"minLength":1},"maxItems":10,"description":"Optional domain allowlist for web retrieval.","uniqueItems":true},"end_published_date":{"type":"string","maxLength":64,"minLength":1,"description":"Optional latest publication date accepted by Exa."},"start_published_date":{"type":"string","maxLength":64,"minLength":1,"description":"Optional earliest publication date accepted by Exa."}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.18958","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":"$0.18958/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.18958","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.18958","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_2bGJYiqgVLkIbLvBXRkNy","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.18958","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs a single live-web research task through 2–7 open-weight LLMs simultaneously, returning separate structured analyses with citations, latency, and usage stats per model — no synthesis or ranking.","exampleAgentPrompt":"Run this research task — 'What are the latest funding rounds in the AI infrastructure space?' — through Qwen/Qwen3.8-27B, deepseek-ai/DeepSeek-V4.1-Flash, and moonshotai/kimi-k3, pulling 7 web sources, category 'news', and give me each model's independent cited analysis without combining them.","exampleUseCases":[{"title":"Competitive company intelligence across models","prompt":"I want to research 'Anthropic's latest product announcements and partnerships' using zai-org/GLM-5.3 and Qwen/Qwen3.6-35B-A3B — pull 5 sources from the 'company' category and show me each model's separate analysis with citations."},{"title":"News event coverage compared across LLMs","prompt":"Run this news research task through deepseek-ai/DeepSeek-V4.1-Flash, moonshotai/kimi-k3, and zai-org/GLM-5.3-Flash: 'What are the key developments in the US-China semiconductor trade dispute in 2025?' Use the 'news' category, 8 results, and return each model's answer independently."},{"title":"Financial report analysis by multiple models","prompt":"Research 'Nvidia Q1 2025 earnings highlights and analyst reactions' through Qwen/Qwen3.8-27B and deepseek-ai/DeepSeek-V4.1-Flash using the 'financial report' category with 6 sources — I want separate structured outputs from each model, not a combined summary."}],"resultDescription":"The agent receives one structured response object per selected model, each containing: the model's full text analysis of the research objective grounded in retrieved web evidence, inline citations pointing to the retrieved sources, token usage counts, wall-clock latency for that model, and validation results. No cross-model ranking or synthesized answer is produced — every model's output stands independently.","failureModes":["Fewer than 2 models selected — request rejected with validation error","Invalid or unsupported model identifier in the models array — returns error listing valid enum values","Objective field empty or exceeds 4000 characters — schema validation failure","num_results outside 1–10 range — rejected with bounds error","Web retrieval returns no results for given domain filters or date range — models receive empty evidence context, analyses may be low-quality","Payment failure via x402 protocol — request not processed","Model timeout or inference error for one or more models — partial results or error flag per model","Conflicting include_domains and exclude_domains causing empty retrieval pool"],"whenToPreferThis":"Choose this endpoint when you need independent, unmerged perspectives from multiple open-weight models on the same live-web research task — especially for model benchmarking, bias comparison, or when you explicitly do not want a synthesized or ranked answer. Prefer this over the sibling Multi-Model Research Synthesis endpoint when preserving each model's distinct reasoning matters more than a unified conclusion. It is ideal for researchers, analysts, and agent pipelines that consume per-model outputs downstream.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:38:07.558Z","isFirstParty":false,"canonicalSlug":"multi-model-research-analysis-bb8bf936"}