{ "evaluation_id": "EVAL-20260403-100131", "question_id": "ANALYSIS-004", "question_text": "Analyze these simplified financials and identify any red flags:\n\nCompany X - Annual Report Summary:\n- Revenue: $100M (up 50% YoY)\n- Cost of Revenue: $40M\n- Operating Expenses: $45M\n- Net Income: $15M\n- Cash from Operations: -$5M\n- Accounts Receivable: $80M (up 200% YoY)\n- Inventory: $30M (up 100% YoY)\n- Days Sales Outstanding: 292 days (industry avg: 45 days)\n- Revenue Recognition: \"Revenue recognized upon shipment\"\n- Major Customer: 60% of revenue from one customer\n- Auditor's Note: \"Going concern uncertainty\"\n\nWhat concerns would you raise? What additional information would you want?", "category": "analysis", "timestamp": "2026-02-05T00:00:00.000Z", "display_date": "Feb 05, 2026", "winner": { "name": "GPT-5.4", "provider": "openrouter", "score": 9.47 }, "avg_score": 9.283, "matrix_size": 89, "models_used": [ { "id": "claude_opus_46", "name": "Claude Opus 4.6", "provider": "openrouter" }, { "id": "gpt_5_4", "name": "GPT-5.4", "provider": "openrouter" }, { "id": "deepseek_v4", "name": "DeepSeek V4", "provider": "openrouter" }, { "id": "mimo_v2_flash", "name": "MiMo-V2-Flash", "provider": "Xiaomi" }, { "id": "claude_sonnet_46", "name": "Claude Sonnet 4.6", "provider": "openrouter" }, { "id": "grok_420", "name": "Grok 4.20", "provider": "openrouter" }, { "id": "gpt_oss_120b", "name": "GPT-OSS-120B", "provider": "OpenAI" }, { "id": "gemini_3_flash", "name": "Gemini 3 Flash Preview", "provider": "Google" }, { "id": "minimax_m25", "name": "MiniMax M2.5", "provider": "openrouter" }, { "id": "gemini_31_pro", "name": "Gemini 3.1 Pro", "provider": "openrouter" } ], "rankings": { "gpt_5_4": { "display_name": "GPT-5.4", "provider": "openrouter", "average_score": 9.47, "score_count": 9, "min_score": 8.65, "max_score": 10, "rank": 1 }, "mimo_v2_flash": { "display_name": "MiMo-V2-Flash", "provider": "Xiaomi", "average_score": 9.44, "score_count": 9, "min_score": 8.6, "max_score": 10, "rank": 2 }, "grok_420": { "display_name": "Grok 4.20", "provider": "openrouter", "average_score": 9.44, "score_count": 9, "min_score": 8.6, "max_score": 10, "rank": 3 }, "gpt_oss_120b": { "display_name": "GPT-OSS-120B", "provider": "OpenAI", "average_score": 9.43, "score_count": 9, "min_score": 8.8, "max_score": 10, "rank": 4 }, "claude_sonnet_46": { "display_name": "Claude Sonnet 4.6", "provider": "openrouter", "average_score": 9.3, "score_count": 9, "min_score": 8.75, "max_score": 10, "rank": 5 }, "claude_opus_46": { "display_name": "Claude Opus 4.6", "provider": "openrouter", "average_score": 9.27, "score_count": 9, "min_score": 8.15, "max_score": 10, "rank": 6 }, "minimax_m25": { "display_name": "MiniMax M2.5", "provider": "openrouter", "average_score": 9.18, "score_count": 8, "min_score": 8.45, "max_score": 10, "rank": 7 }, "gemini_31_pro": { "display_name": "Gemini 3.1 Pro", "provider": "openrouter", "average_score": 9.16, "score_count": 9, "min_score": 8.45, "max_score": 10, "rank": 8 }, "deepseek_v4": { "display_name": "DeepSeek V4", "provider": "openrouter", "average_score": 9.07, "score_count": 9, "min_score": 8.6, "max_score": 10, "rank": 9 }, "gemini_3_flash": { "display_name": "Gemini 3 Flash Preview", "provider": "Google", "average_score": 9.07, "score_count": 9, "min_score": 8.35, "max_score": 10, "rank": 10 } }, "judgments": [ { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 10, "brief_justification": "The response is exceptional, accurately identifying all red flags, connecting them into a cohesive narrative of potential fraud, and providing a highly professional and exhaustive list of additional due diligence questions." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 10, "brief_justification": "" }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 10, "brief_justification": "The response perfectly identifies all financial red flags, provides deep insights into potential causes like channel stuffing, and requests highly relevant additional information in a clear, structured format." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 10, "brief_justification": "The response is exceptionally accurate, comprehensive, and well-structured. It correctly identifies all red flags, provides deep insights into the interplay between the metrics (e.g., channel stuffing, working capital drag), and offers highly actionable follow-up questions." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 10, "brief_justification": "The response is exceptional, accurately identifying all red flags with deep financial insight, excellent formatting, and highly relevant requests for additional information." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 10, "brief_justification": "The response perfectly analyzes the financial data, accurately identifying all red flags with professional-level insight. The requested additional information is highly relevant and actionable." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 9.45, "brief_justification": "The response provides an exceptionally accurate, deep, and well-structured financial analysis, correctly identifying all red flags and suggesting highly relevant follow-up questions. However, it cuts off abruptly at the very end." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 10, "brief_justification": "The response perfectly identifies all financial red flags, connects them logically to uncover potential accounting manipulation, and requests highly relevant additional information for a thorough forensic analysis." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 10, "brief_justification": "The response perfectly identifies all financial red flags, accurately calculates margins, connects the metrics to uncover potential channel stuffing or fraud, and requests highly relevant additional information." }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 9.2, "brief_justification": "The response is exceptionally well-structured and demonstrates deep financial analysis expertise. It correctly identifies all major red flags (cash flow divergence, channel stuffing indicators, inventory bloat, concentration risk, going concern). The channel stuffing hypothesis connecting A/R growth, DSO, and revenue recognition policy is particularly insightful. The due diligence requests are practical and well-targeted. The related party observation about the major customer shows sophisticated" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 9.8, "brief_justification": "The response is factually accurate, identifying all major red flags correctly and explaining the interrelationships between them (e.g., positive net income vs. negative OCF, AR growth outpacing revenue growth, DSO vs. industry average). The completeness is exceptional—every financial line item is analyzed, and the additional information requests are thorough and well-organized across revenue quality, receivables, inventory, cash/liquidity, customer concentration, and governance. The clarity is e" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 9.2, "brief_justification": "" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 10, "brief_justification": "This is an exceptional analysis. Every major red flag is correctly identified with accurate financial reasoning. The response demonstrates deep understanding of the interrelationships between the metrics (e.g., how channel stuffing connects DSO, revenue recognition, and AR growth). The additional information requests are precisely targeted and professionally relevant. The structure is impeccable with clear headers, observations, analyses, and implications. The summary assessment with direct mana" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9.55, "brief_justification": "Exceptionally thorough and well-structured analysis that correctly identifies all major red flags, explains their interconnections, and provides actionable next steps. The response demonstrates deep financial analysis expertise, correctly references relevant accounting standards (ASC 606), draws apt historical parallels (Enron, Luckin Coffee), and provides a comprehensive checklist of additional information needed. The formatting with tables, severity ratings, and visual hierarchy makes it highl" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.6, "brief_justification": "Exceptionally thorough and accurate analysis. Correctly identifies all major red flags including the critical cash flow vs. net income disconnect, AR/DSO anomalies, channel stuffing indicators, going concern warning, and customer concentration risk. The additional information requests are comprehensive and well-prioritized, covering AR aging, revenue recognition details, liquidity, subsequent events, and management/auditor changes. The response demonstrates deep financial analysis expertise and " }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 9.55, "brief_justification": "The response is exceptionally thorough, well-structured, and accurate. It correctly identifies all major red flags (negative operating cash flow despite profitability, extreme DSO, disproportionate AR growth, channel stuffing risk, going concern, customer concentration, aggressive revenue recognition). The analysis goes beyond surface-level identification by quantifying relationships (e.g., $20M non-cash earnings gap, AR as 80% of revenue, DSO 6x industry norm). The additional information reques" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 9.2, "brief_justification": "The response is exceptionally well-structured and identifies all major red flags accurately: the earnings-cash flow divergence, AR/DSO anomalies suggesting channel stuffing, customer concentration risk, inventory bloat, aggressive revenue recognition, and the going concern note. The analysis correctly links these issues together (e.g., revenue recognition + high AR + DSO = likely channel stuffing). The additional information requests are highly relevant and demonstrate forensic accounting awaren" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 9.2, "brief_justification": "Excellent analysis that correctly identifies all major red flags: the cash flow vs. earnings mismatch, the extreme DSO, AR growth outpacing revenue growth, inventory bloat, customer concentration, and going concern. The margin calculations are correct. The response correctly identifies potential channel stuffing and aggressive revenue recognition. The additional information requests are highly relevant and well-targeted. The formatting is exceptionally clear with tables and organized sections. M" }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 8.8, "brief_justification": "Accurately identifies major red flags like cash flow divergence, extreme AR/DSO, inventory buildup, customer concentration, and going-concern risk. It is clear, well-structured, and asks for relevant follow-up information. Slightly overstated in places by implying potential fraud/channel stuffing as more definitive than the data alone supports." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8.15, "brief_justification": "Strong identification of major red flags and useful follow-up questions, with clear structure and good analytical depth. However, it overstates certainty by calling manipulation or fraud 'textbook' and saying profits are 'almost certainly an illusion' based on limited data; some concerns could have non-fraud explanations." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 8.8, "brief_justification": "Accurately identifies the major red flags: negative operating cash flow despite profits, extreme AR growth and DSO, inventory build, customer concentration, and going-concern risk. The response is clear, well-structured, and asks for relevant follow-up information. Minor overstatement: recognizing revenue upon shipment is not inherently aggressive in all industries, though it is concerning given the other metrics." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 9, "brief_justification": "Accurately identifies the major red flags—negative operating cash flow despite profit, extreme DSO and receivables growth, inventory buildup, customer concentration, revenue recognition risk, and the going-concern note. Well-structured, practical, and includes strong follow-up diligence questions. Minor overstatement in implying possible fraud and slight imprecision around cash flow vs. CapEx, but overall very strong." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 8.75, "brief_justification": "Strong, well-structured analysis that identifies the main red flags and asks for the right follow-up information. Minor overstatements reduce correctness somewhat, especially implying fraud too confidently and making a few unsupported claims about debt covenants and what auditors 'believe.'" }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9, "brief_justification": "Accurately identifies the key red flags—negative operating cash flow versus earnings, extreme receivables/DSO, inventory buildup, customer concentration, aggressive revenue recognition concerns, and the going-concern warning. It is clear, well-structured, and provides practical follow-up questions. Slightly overstated in places by implying likely fraud/channel stuffing from limited data, but overall very strong." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 9, "brief_justification": "Accurately identifies the major red flags: poor cash conversion, extreme DSO/AR growth, inventory buildup, customer concentration, aggressive revenue recognition risk, and going-concern issues. It is well-structured, thorough, and practical. Minor limitation: a few speculative points and one incomplete final bullet, but overall very strong." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 8.35, "brief_justification": "Accurately identifies the main red flags: negative operating cash flow despite net income, AR/DSO issues, inventory growth, customer concentration, shipment-based revenue recognition, and the going-concern note. The additional information requested is practical and relevant. Slightly overstated in places by implying likely fraud/channel stuffing and imminent failure without enough evidence from the simplified data alone." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 8.8, "brief_justification": "Accurately identifies the major red flags: cash flow/earnings mismatch, extreme AR and DSO, inventory build, customer concentration, and going-concern risk. The request for additional information is practical and well targeted. Minor overreach in implying fictitious revenue or fraud without stronger evidence, and margin commentary is somewhat less central than other issues." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 9.8, "brief_justification": "Comprehensive analysis with clear red flags and actionable follow-up questions." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 10, "brief_justification": "Comprehensive, accurate, and insightful analysis with clear identification of red flags and actionable follow-up questions." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 9.8, "brief_justification": "Comprehensive, accurate, and highly actionable analysis with deep insights." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 10, "brief_justification": "Comprehensive, accurate, and highly actionable analysis." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9.8, "brief_justification": "Comprehensive, accurate, and highly actionable analysis with exceptional depth." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.8, "brief_justification": "Comprehensive and accurate analysis with clear red flags and actionable follow-up questions." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 9.6, "brief_justification": "Comprehensive and accurate analysis with actionable insights." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 10, "brief_justification": "Comprehensive, accurate, and highly actionable analysis with clear identification of red flags and additional information needed." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 9.35, "brief_justification": "Response is factually accurate, thoroughly covers all red flags, clearly structured, provides deep analysis of implications, and offers highly actionable next steps for investigation." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 9.35, "brief_justification": "Accurate identification of red flags, thorough coverage, clear structure, insightful analysis connecting issues, and highly actionable recommendations." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 9.35, "brief_justification": "Accurate identification of red flags, thorough coverage of concerns and additional info needs, exceptionally clear structure, insightful analysis of patterns and risks, highly actionable for decision-making." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 9, "brief_justification": "Accurate identification of red flags, thorough coverage, clear structure, insightful analysis, and actionable recommendations." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9, "brief_justification": "Excellent analysis that identifies all major red flags with clear explanations, uses data effectively, and provides actionable next steps." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.35, "brief_justification": "Response accurately identifies all major red flags, provides thorough analysis, and offers actionable additional information with clear structure." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 9.35, "brief_justification": "Excellent analysis that systematically identifies all major red flags (cash flow, DSO, AR, inventory, concentration, going concern) and provides a comprehensive list of follow-up information requests and actionable next steps." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 9, "brief_justification": "The response is highly accurate, identifying all major red flags (quality of earnings, DSO, concentration, going concern) with correct financial logic. It provides a comprehensive list of additional data needed for forensic analysis. The structure is clear, and the analysis demonstrates strong depth by connecting specific metrics to underlying business risks." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 9.35, "brief_justification": "Accurate identification of key red flags, thorough coverage of concerns and additional info needs, clear structure, insightful analysis, and highly actionable." }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 9.2, "brief_justification": "Excellent analysis that correctly identifies all major red flags including the cash flow/net income divergence, DSO anomaly suggesting channel stuffing, inventory bloat, concentration risk, and going concern note. The response goes beyond surface-level observations to suggest potential fraud indicators (related party transactions, channel stuffing). Additional information requests are highly specific and actionable. Minor deduction for correctness as the 'Summary Verdict' section appears cut off" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 10, "brief_justification": "Exceptional analysis that correctly identifies all major red flags, connects them into a coherent narrative of potential earnings manipulation, and provides highly actionable follow-up questions. The response demonstrates sophisticated financial forensics knowledge, correctly prioritizes the cash flow/net income divergence as the most critical signal, and draws appropriate parallels to known fraud patterns. The structured format, visual flow diagram, and clear bottom-line assessment make this bo" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 10, "brief_justification": "Exceptional response that correctly identifies all major red flags with precise quantitative analysis (292-day DSO vs 45-day industry average, $80M AR on $100M revenue, negative OCF vs positive net income). The analysis demonstrates sophisticated financial forensics by connecting multiple warning signs into a coherent narrative about potential revenue recognition fraud, channel stuffing, and liquidity risk. The additional information requests are highly specific and actionable (AR aging schedule" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 8.8, "brief_justification": "Excellent analysis that correctly identifies all major red flags including the cash flow/profit mismatch, AR explosion with DSO analysis, going concern warning, and concentration risk. Well-structured with clear prioritization of critical vs. other concerns. The additional information requests are practical and targeted. Minor gap: could have quantified the AR/revenue ratio concern more explicitly or discussed potential fraud indicators like Beneish M-score, but overall very strong financial ana" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 10, "brief_justification": "Exceptional analysis that correctly identifies all major red flags with precise technical reasoning. The response systematically addresses each concern (going concern, DSO anomaly, cash flow divergence, channel stuffing risk, concentration risk) with accurate financial logic. The additional information requests are highly specific and actionable (aging schedule, debt covenants, related-party checks). The structured format, management questions, and verdict make this immediately useful for a real" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.6, "brief_justification": "Exceptional analysis that correctly identifies all major red flags with precise reasoning. The response demonstrates sophisticated financial analysis skills, correctly prioritizing the cash flow/net income divergence, the extreme DSO anomaly, and the going concern note. The additional information requests are highly specific and actionable, covering AR aging, side letters, bill-and-hold arrangements, and management incentives - exactly what a forensic accountant would demand. Minor deduction for" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 9.35, "brief_justification": "Exceptionally thorough analysis covering all major red flags with accurate financial reasoning. The structured table format enhances clarity, and the three-section approach (red flags, additional information needed, next steps) provides excellent practical value. Minor deduction for correctness as the response appears cut off at the end, but overall demonstrates strong financial analysis expertise with actionable insights." }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 9.2, "brief_justification": "Excellent analysis that correctly identifies all major red flags with accurate financial reasoning. The DSO calculation, quality of earnings gap, channel stuffing risk, and going concern note are all properly contextualized. The additional information requests are highly practical and forensically sound. Minor gap: doesn't explicitly calculate the $20M discrepancy between net income and cash flow or note the gross margin implications, but overall this is a thorough, well-structured, and actionab" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 9, "brief_justification": "Excellent analysis that correctly identifies all major red flags with proper financial reasoning. The DSO calculation and cash flow mismatch analysis are accurate. The structured format with tables enhances clarity. Good depth in suggesting possible fraud indicators like channel stuffing. The additional information requests are highly practical and targeted. Minor gap: could have noted the mathematical inconsistency (Revenue $100M - CoR $40M - OpEx $45M = $15M net income, which ignores taxes/int" }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 8.8, "brief_justification": "The response accurately identifies all key red flags with strong logical analysis, provides thorough explanations, is clearly structured, offers insightful fraud indicators, and delivers highly actionable due diligence requests." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8.8, "brief_justification": "The response accurately identifies all key red flags with strong logical connections, provides thorough analysis including interconnections and real-world parallels, communicates clearly in a structured format, offers insightful depth on manipulation patterns, and delivers highly actionable requests for additional information." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.8, "brief_justification": "The response accurately identifies all key red flags from the financials with strong logical connections, provides thorough coverage including patterns and implications, is clearly structured with headings and bullets, offers insightful analysis on potential manipulations like channel stuffing, and delivers highly actionable requests for additional information." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 8.8, "brief_justification": "The response accurately identifies all major red flags with strong logical analysis, provides thorough coverage including additional info requests, is clearly structured, offers insightful interpretations beyond basics, and delivers highly practical value for financial scrutiny." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.8, "brief_justification": "The response accurately identifies all major red flags with strong logical analysis, provides thorough coverage including implications and specific questions, is clearly structured, offers insightful implications beyond basics, and delivers highly actionable recommendations." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 8.8, "brief_justification": "The response accurately identifies all major red flags with strong logical analysis, uses clear structure and tables for readability, provides insightful comparisons to fraud patterns and standards like ASC 606, and offers highly actionable requests for additional information." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 8.8, "brief_justification": "The response is factually accurate, logically structured with tables for clarity, covers all key red flags comprehensively with insightful analysis, and provides highly actionable next steps and information requests." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 8.8, "brief_justification": "The response accurately identifies all key red flags with strong logical analysis, covers the topic thoroughly with clear structure, provides insightful forensic perspective, and offers highly actionable additional information requests." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 8.8, "brief_justification": "The response accurately identifies all major red flags with strong logical analysis, uses a clear structured format with tables, provides insightful interpretations beyond basics, and offers highly practical additional information requests." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 8.45, "brief_justification": "Accurately pinpoints major red flags and offers clear, actionable follow‑up items; well‑structured and insightful, though a few additional financial metrics could enhance completeness." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8.6, "brief_justification": "Accurately identifies key red flags from the data, covers most major concerns, presents them clearly with logical structure, offers insightful connections and context, and lists practical follow‑up information to request." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.65, "brief_justification": "The answer accurately identifies key red flags, explains their significance, and lists thorough follow‑up information, presented clearly and with useful actionable points." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 8.65, "brief_justification": "Accurately identifies key red flags, covers all major issues, presents them clearly, offers insightful analysis and practical follow‑up items." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.6, "brief_justification": "Accurately identifies key red flags and explains their implications, offers a thorough list of additional data to request, presented clearly with actionable insights." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 8.8, "brief_justification": "Accurate identification of key red flags, thorough coverage, well-structured with tables, insightful analysis, and actionable information requests." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 8.6, "brief_justification": "Accurately identifies key red flags and explains why they matter; offers a thorough list of follow‑up data to request; well‑structured and clear; provides insightful analysis of potential accounting issues; actionable and practical recommendations." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 8.45, "brief_justification": "Accurately identifies key red flags, offers clear explanations and actionable follow‑up items, though could include a few more financial ratios for full completeness." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 8.45, "brief_justification": "Accurate analysis of red flags, well-structured, covers key concerns and asks for relevant follow‑up data, offering actionable insight." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 10, "brief_justification": "The response is an exceptional analysis of the provided financial data. It correctly identifies all major red flags, including the divergence between net income and cash flow, the extreme DSO/AR issues suggesting channel stuffing, and the concentration risk. The additional information requested is highly professional and reflects standard forensic accounting practices." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 10, "brief_justification": "The response is an exceptional analysis of the provided financial data. It correctly identifies all major red flags, explains the mechanics of how they relate (e.g., the connection between AR, DSO, and Revenue Recognition), and provides a sophisticated list of follow-up questions that a professional auditor or analyst would ask. The structure is clear and the tone is appropriately professional yet firm." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 10, "brief_justification": "The response is an excellent analysis of the provided financial data. It correctly identifies all major red flags, specifically the disconnect between net income and cash flow, the alarming DSO, and the implications of the going concern warning. The follow-up questions are professional and cover forensic accounting, liquidity, and governance aspects thoroughly." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 9.8, "brief_justification": "The analysis is highly accurate and identifies all critical red flags present in the data. It correctly links the negative cash flow to the ballooning accounts receivable and high DSO, and provides a comprehensive list of follow-up questions that a professional financial analyst would ask." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 10, "brief_justification": "The response is an exceptional financial analysis. It correctly identifies all major red flags, explains the mechanics of why they are dangerous (e.g., the link between DSO, revenue recognition, and channel stuffing), and provides a comprehensive list of follow-up questions that a professional auditor or analyst would ask." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 10, "brief_justification": "The response is an exceptional financial analysis. It correctly identifies all red flags, provides a sophisticated breakdown of the relationship between the metrics (e.g., the AR/Revenue growth divergence), and offers a comprehensive list of follow-up questions that a professional analyst would ask. The formatting is excellent for clarity." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 10, "brief_justification": "The response is an exceptional financial analysis. It correctly identifies the critical relationship between the 292-day DSO and the negative cash flow from operations, accurately labels the risk of channel stuffing, and provides a comprehensive list of follow-up questions that a professional auditor or analyst would ask." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 10, "brief_justification": "The response is an exceptional financial analysis. It correctly identifies all red flags, including the critical divergence between revenue and cash flow, the massive DSO anomaly, and the implications of the auditor's going-concern warning. The structure is professional, and the requested additional information is comprehensive and highly relevant for a real-world audit or investment scenario." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 9.8, "brief_justification": "The response is exceptionally strong, correctly identifying the core issues of earnings quality, channel stuffing, and liquidity risk. It accurately calculates margins and highlights the extreme DSO discrepancy. The additional information requested is highly professional and relevant to a forensic accounting investigation." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 8.8, "brief_justification": "Thorough and accurate identification of all major red flags including cash flow divergence, channel stuffing indicators, inventory bloat, customer concentration, and going concern. Well-structured with clear explanations and practical due diligence requests. Missing minor details on debt covenants and subsequent events." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8.55, "brief_justification": "Thorough, well-structured analysis that correctly identifies all major red flags including cash flow divergence, AR explosion, customer concentration, and going concern issues. Good depth with connections drawn between flags and possible explanations like channel stuffing. Slightly strong language on 'manipulation' but otherwise excellent practical guidance on additional information needed." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.8, "brief_justification": "Accurate identification of all major red flags including earnings quality issue, AR/DSO problems, inventory buildup, revenue recognition risks, customer concentration, and going concern. Well-structured with clear headings. Good depth connecting multiple red flags to potential root causes. Comprehensive list of additional information requests for further investigation. Minor deduction on depth for not exploring some forensic accounting techniques in more detail." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 8.6, "brief_justification": "Excellent analysis covering all major red flags accurately. Well-organized with clear structure. Connects financial metrics to identify potential revenue quality issues and going concern risk. Provides specific, actionable follow-up questions. Minor gap: could note that operating margin is thin at 15%." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.6, "brief_justification": "Accurately identifies all major red flags including negative cash flow, extreme DSO, going concern, and customer concentration. Well-organized with clear structure. Goes beyond surface facts to explain implications and connections between issues. Requested additional information is comprehensive and actionable." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9, "brief_justification": "Excellent analysis with accurate financial calculations, comprehensive identification of all major red flags (cash flow disconnect, AR growth, DSO anomaly, customer concentration, going concern), clear structured presentation with tables and formatting, insightful connections between issues, and highly actionable recommendations with prioritized list of additional information needed." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9, "brief_justification": "Excellent analysis with accurate identification of all major red flags (cash flow disconnect, extreme DSO, customer concentration, going concern). Thorough coverage includes working capital issues, revenue recognition concerns, and pattern recognition (channel stuffing). Well-organized with clear headings and logical flow. Deep analysis connects disparate data points and explains implications. Highly useful with specific, actionable follow-up questions for AR aging, customer details, liquidity p" }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 9.8, "brief_justification": "Excellent response that correctly identifies all major red flags (negative cash flow, extreme DSO, AR/inventory buildup, customer concentration, going concern). Thoroughly covers concerns with clear explanations of financial relationships and potential impacts. Well-structured with tables and logical flow. Provides extensive list of additional information needed and actionable next steps. Slightly扣除深度分数因为未深入探讨一些更细微的会计处理细节或行业特定因素，但整体非常全面且实用。" }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 8.6, "brief_justification": "Accurate identification of all major red flags with correct financial analysis. Comprehensive coverage of issues including cash flow gap, AR/DSO anomalies, customer concentration, inventory bloat, and going concern. Well-structured with clear headings and logical flow. Good depth explaining channel stuffing risk and connecting related issues. Practical actionable conclusions with specific additional information requests. Minor deduction for slight formatting issues and could explore some areas d" } ], "meta": { "source": "The Multivac (app.themultivac.com)", "methodology": "10x10 blind peer matrix evaluation", "criteria": "correctness, completeness, clarity, depth, usefulness", "self_judgments": "excluded from rankings", "license": "Open data — cite as: The Multivac (2026)" } }