{ "evaluation_id": "EVAL-20260402-204219", "question_id": "ANALYSIS-023", "question_text": "A company wants to acquire a startup for $50M. The startup claims $5M ARR growing 100% YoY, 85% gross margins, net retention 130%. During due diligence, you discover: (1) 40% of revenue is from a single customer, (2) the 'ARR' includes one-time implementation fees, (3) three of five engineers have unvested equity and might leave. What's the real valuation? What deal terms would protect the acquirer?", "category": "analysis", "timestamp": "2026-04-02T20:42:19.886Z", "display_date": "Apr 02, 2026", "winner": { "name": "GPT-5.4", "provider": "openrouter", "score": 9.06 }, "avg_score": 7.841, "matrix_size": 85, "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": "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" }, { "id": "gpt_oss_120b", "name": "GPT-OSS-120B", "provider": "OpenAI" } ], "rankings": { "gpt_5_4": { "display_name": "GPT-5.4", "provider": "openrouter", "average_score": 9.06, "score_count": 9, "min_score": 8.35, "max_score": 9.8, "rank": 1 }, "grok_420": { "display_name": "Grok 4.20", "provider": "openrouter", "average_score": 8.99, "score_count": 9, "min_score": 8.55, "max_score": 9.8, "rank": 2 }, "claude_opus_46": { "display_name": "Claude Opus 4.6", "provider": "openrouter", "average_score": 8.92, "score_count": 9, "min_score": 8.4, "max_score": 10, "rank": 3 }, "mimo_v2_flash": { "display_name": "MiMo-V2-Flash", "provider": "Xiaomi", "average_score": 8.75, "score_count": 9, "min_score": 7.75, "max_score": 9.8, "rank": 4 }, "claude_sonnet_46": { "display_name": "Claude Sonnet 4.6", "provider": "openrouter", "average_score": 8.75, "score_count": 9, "min_score": 7.8, "max_score": 10, "rank": 5 }, "gemini_3_flash": { "display_name": "Gemini 3 Flash Preview", "provider": "Google", "average_score": 8.26, "score_count": 9, "min_score": 6.75, "max_score": 9.35, "rank": 6 }, "deepseek_v4": { "display_name": "DeepSeek V4", "provider": "openrouter", "average_score": 7.91, "score_count": 9, "min_score": 6.6, "max_score": 9.8, "rank": 7 }, "minimax_m25": { "display_name": "MiniMax M2.5", "provider": "openrouter", "average_score": 7.64, "score_count": 9, "min_score": 6.5, "max_score": 9, "rank": 8 }, "gemini_31_pro": { "display_name": "Gemini 3.1 Pro", "provider": "openrouter", "average_score": 6.56, "score_count": 9, "min_score": 3.9, "max_score": 8.6, "rank": 9 }, "gpt_oss_120b": { "display_name": "GPT-OSS-120B", "provider": "OpenAI", "average_score": 3.58, "score_count": 4, "min_score": 0.45, "max_score": 7.55, "rank": 10 } }, "judgments": [ { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8.75, "brief_justification": "Provides a well-structured, detailed valuation range with reasonable adjustments and concrete protective deal terms, covering all key risks; minor assumptions could be debated but overall accurate and actionable." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8.6, "brief_justification": "The response provides excellent, realistic financial analysis and highly actionable deal structuring advice. However, it cuts off abruptly at the very end, which slightly impacts completeness and clarity." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 9.8, "brief_justification": "The response provides a highly accurate, comprehensive, and actionable M&A analysis, correctly identifying the impact of red flags on valuation and proposing sophisticated deal structuring mechanisms." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 7.4, "brief_justification": "" }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 9.8, "brief_justification": "The response provides a highly accurate, comprehensive, and actionable M&A analysis. It correctly adjusts valuation metrics, proposes standard and effective deal structures (earn-outs, RSUs, QoE review), and is exceptionally well-organized." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 8.6, "brief_justification": "The response provides excellent, deep, and actionable M&A analysis, accurately recalculating valuation and proposing specific protective deal terms. However, it cuts off abruptly at the end." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.35, "brief_justification": "The response provides a highly realistic, well-reasoned valuation adjustment and actionable M&A deal terms that directly address the specific due diligence findings." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 9.35, "brief_justification": "The response accurately applies standard M&A valuation adjustments and structuring techniques. It provides a logical framework for adjusting the valuation and offers highly relevant, specific deal terms to mitigate the identified risks." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 6.5, "brief_justification": "" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 6.3, "brief_justification": "The response correctly identifies the three key risks and begins a reasonable framework for adjusting both the revenue base and the multiple. The ARR adjustment logic is sound (removing implementation fees), and the customer concentration and key-person risk discounts are directionally correct. However, the response is clearly truncated—it cuts off mid-sentence before delivering the final valuation number and, critically, before addressing the second half of the question about protective deal te" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.75, "brief_justification": "The response is thorough, well-structured, and demonstrates strong M&A knowledge. The ARR normalization approach is sound, though the exact range assumptions are necessarily speculative. The multiple adjustment from 8-12x down to 4-7x is reasonable given the risk factors, though one could argue the growth rate adjustment and NRR recalculation (since NRR may also be inflated by the same issues) deserved more attention. The deal terms section is excellent and comprehensive, covering earnouts, escr" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 7.4, "brief_justification": "The response is well-structured and clearly presented, covering the main issues raised in the prompt. However, the analysis has some weaknesses: the 20% assumption for one-time implementation fees is arbitrary and could be higher (many startups inflate ARR significantly with implementation fees), the adjusted multiple reasoning is somewhat superficial, and the response doesn't adequately address how the 100% YoY growth rate itself might be inflated given the ARR misrepresentation. The NRR of 130" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.95, "brief_justification": "Excellent, well-structured response that systematically addresses all three due diligence findings with clear reasoning. The ARR adjustment methodology is sound, the risk-adjusted multiple approach is reasonable, and the deal terms are practical and comprehensive. Minor quibbles: the assumption that implementation fees are exactly 20% is somewhat arbitrary (could have provided a range), and the statement that including one-time fees in ARR is a 'GAAP violation' is slightly imprecise (ARR is a no" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 8.75, "brief_justification": "Exceptionally thorough and well-structured analysis. The ARR reconstruction is reasonable, though the risk-adjusted ARR methodology (applying a 50% risk-weight to the concentrated customer) is somewhat arbitrary and could be debated. The multiple compression factors are directionally correct but the specific discount percentages lack empirical grounding. The deal structuring options are practical and sophisticated, covering earnouts, escrows, R&W provisions, and retention mechanisms. The respons" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 8.95, "brief_justification": "Excellent, well-structured response that correctly identifies the key risks and provides a realistic valuation adjustment with clear reasoning. The ARR normalization logic is sound (stripping out implementation fees, adjusting for concentration risk). The deal terms are comprehensive and practical—earn-outs, escrow, key-man retention, customer concentration protections, and purchase price adjustments are all industry-standard protective mechanisms applied appropriately. Minor quibble: the exact " }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 0.5, "brief_justification": "The response is completely empty - no content was provided to evaluate. There is no analysis of the valuation adjustment, no discussion of deal terms, and no engagement with any aspect of the complex M&A question posed." }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 8.1, "brief_justification": "The response is well-structured and demonstrates strong practical M&A knowledge. The valuation adjustment logic is reasonable, though the assumption that 20% of ARR is implementation fees is somewhat arbitrary (could be higher or lower). The multiple compression from 10x to 6-7x is defensible but could use more rigorous justification. The deal terms section is excellent - covering earn-outs, escrows, re-vesting, NWC pegs, and R&W insurance with specific, actionable recommendations. Minor issues:" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 7.5, "brief_justification": "The response is well-structured and covers key deal terms comprehensively. However, there are notable correctness issues: (1) The interpretation of 130% net retention is wrong - 130% NRR is actually strong and means existing customers are spending 30% more, not that '70% of the cohort's starting revenue is gone or unchanged.' NRR of 130% is above the 120% benchmark the response itself cites, yet it calls it 'below benchmark.' (2) The valuation methodology is reasonable but somewhat arbitrary - a" }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 3.9, "brief_justification": "The response identifies the key diligence risks and reasonably suggests ARR and multiple should be reduced, but it is incomplete and cut off before giving a final valuation or any concrete protective deal terms. It also relies on an unsupported assumption about implementation-fee mix, limiting accuracy and usefulness." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8.4, "brief_justification": "Strong, structured analysis that appropriately discounts the headline metrics and proposes practical protections like earnouts, escrow, retention packages, and reps/warranties. Some valuation inputs are speculative and the response is truncated before fully finishing indemnification terms, but overall it is thoughtful and actionable." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 7.75, "brief_justification": "Clear and well-structured response that identifies the major diligence issues and proposes sensible protections like earnouts, escrow, and retention packages. Main weakness is that the valuation is driven by unsupported assumptions (e.g. 20% implementation fees, 7x multiple) rather than framing a tighter range or valuation methodology under uncertainty." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.55, "brief_justification": "Strong, structured analysis with sensible ARR normalization, risk-adjusted multiple, and practical deal protections. Minor issues: valuation relies on assumptions not fully grounded in market comps, calling the ARR treatment a GAAP violation is overstated, and a few legal/mechanical suggestions are imperfect, but overall it is highly useful and well reasoned." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 7.8, "brief_justification": "Strong risk identification and sensible deal protections, with a plausible downward valuation. Loses points for unsupported assumptions (e.g., implementation fees % and exact multiple compression), an incomplete ending, and some overconfident claims such as intentional ARR manipulation." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 8.55, "brief_justification": "Strong, well-structured answer that appropriately discounts for revenue concentration, non-recurring ARR inflation, and talent risk, and proposes sensible protections like earn-outs, escrows, retention packages, and price adjustments. Some valuation assumptions and market multiple references are somewhat speculative, but overall the reasoning is sound and practical." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 0.45, "brief_justification": "No actual response was provided to evaluate, so it does not address the question and offers no useful analysis." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 8.1, "brief_justification": "Clear, structured, and practically useful with strong risk framing and sensible deal protections. Main weakness is inventing an unsupported 20% implementation-fee assumption and presenting a somewhat speculative valuation range, though the overall logic is sound." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 6.65, "brief_justification": "Well-structured and practical, but materially flawed on key SaaS concepts and valuation logic: 130% net retention is actually strong, not below benchmark, and the valuation range appears overly punitive and weakly grounded in the given facts. Deal protections are broadly sensible and fairly complete." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 8.45, "brief_justification": "Accurate adjustments to ARR and multiple, clear risk analysis, and practical valuation approach." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 9.55, "brief_justification": "Highly detailed and accurate analysis with comprehensive protective terms." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 9.2, "brief_justification": "Highly accurate and thorough with excellent practical advice." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.8, "brief_justification": "Detailed and accurate analysis with strong risk mitigation strategies." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9, "brief_justification": "Thorough analysis with clear adjustments and protective deal terms." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9, "brief_justification": "Highly accurate, thorough, and actionable with excellent clarity and depth." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 7.55, "brief_justification": "Addresses key issues but lacks detailed valuation calculation and some protective terms." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 8.8, "brief_justification": "Highly accurate and thorough analysis with actionable recommendations." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 9, "brief_justification": "Detailed, accurate analysis with clear protective terms." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 8.15, "brief_justification": "Strong analysis of risks and valuation adjustments, though the response is incomplete as it cuts off before providing the final valuation figure and deal terms." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 9, "brief_justification": "Excellent analysis. Correctly identifies and quantifies the three key risks (revenue quality, concentration, team). Valuation adjustments are logical and supported by multiple methods (ARR multiple, DCF, comparable discount). Deal terms are highly specific, actionable, and directly address each identified risk (earnout structure, escrow, retention packages, reps & warranties). The only minor deduction is for a slight over-simplification in the DCF growth trajectory, but it serves the purpose of " }, { "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": "Comprehensive, accurate, and highly actionable analysis covering valuation adjustment and detailed deal protections." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 8.55, "brief_justification": "The response correctly identifies the valuation discrepancies and proposes standard, relevant deal terms. It demonstrates strong completeness and clarity, though the depth could be slightly improved by more explicitly quantifying the impact of the 130% NRR on the valuation multiple." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 9.75, "brief_justification": "Comprehensive, accurate, and highly actionable analysis with clear structure and deep risk assessment." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9, "brief_justification": "Excellent analysis. Correctly identifies valuation risk and provides specific, actionable deal terms. Strong depth in explaining why the $50M ask is inflated and how to structure protections." }, { "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": "Excellent response. Correctly identifies the valuation gap and risks. Completeness is high, covering financial, customer, and talent risks. Clarity is strong with clear sections. Depth is good, though the 'real valuation' math is slightly simplistic (ignoring growth impact on multiple). Usefulness is high with actionable deal terms." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 8.55, "brief_justification": "Accurate analysis of valuation risks and practical deal terms, well-structured and thorough." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 6.75, "brief_justification": "The response provides a structured analysis with reasonable adjustments and deal terms, but contains inaccuracies like misstating net retention benchmarks (130% is actually strong, not below average) and overly aggressive valuation discounts without strong justification. Valuation range feels too low relative to typical SaaS M&A for growing companies." }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 6.45, "brief_justification": "The response starts strong with good analytical framework - correctly identifies ARR inflation, applies risk-adjusted multiples, and explains the reasoning. However, the response is clearly truncated, cutting off mid-sentence before completing the valuation calculation and entirely missing the deal terms section (earnouts, escrow, retention packages, reps & warranties, etc.) which was explicitly asked for. The ARR adjustment assumption (20% implementation fees) is reasonable but presented as fac" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 9, "brief_justification": "Exceptionally thorough response that systematically addresses all three due diligence findings with quantitative adjustments. The ARR recalculation is methodologically sound, the three-method valuation convergence is sophisticated, and the deal structure recommendations are highly specific and actionable. Minor gaps: the response appears cut off before completing the indemnification structure section, and some implementation fee percentage assumptions (17%) could be better justified. The earnout" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 9.15, "brief_justification": "Excellent response that systematically addresses all three red flags found in due diligence. The valuation re-underwriting is methodologically sound, showing step-by-step ARR normalization and multiple compression reasoning. Deal terms are comprehensive and practical, covering earnouts, escrow, customer concentration protections, rep and warranty specifics, and engineer retention mechanisms. The structure is clear and actionable, making it highly useful for a real M&A scenario. Minor gap: doesn'" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 7.55, "brief_justification": "The response correctly identifies the key issues and provides a reasonable valuation adjustment framework. The ARR adjustment assumption (20% one-time fees) is explicitly flagged as assumed, which is honest but limits precision. The multiple compression logic is sound but somewhat arbitrary without deeper justification. Deal terms are practical and well-explained. Missing deeper analysis: NRR of 130% should be recalculated on true ARR base, the customer concentration risk deserves more quantitat" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.55, "brief_justification": "Strong, well-structured response that correctly identifies the key valuation adjustments and proposes practical deal terms. The ARR adjustment methodology is sound, the multiple discounting rationale is reasonable, and the deal structure recommendations (earn-outs, R&W, RSUs, stay bonuses) are actionable and appropriate. Minor weaknesses: the 20% implementation fee assumption is arbitrary without more data, the NRR of 130% (a strong positive signal) isn't fully incorporated into the valuation di" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.15, "brief_justification": "Excellent response that systematically addresses all three due diligence findings with quantified adjustments to ARR, applies appropriate valuation multiples with clear reasoning, and provides comprehensive deal structuring terms. The normalized ARR calculation is sound, the multiple compression rationale is well-justified, and the protective terms are specific and actionable. The recommendation to offer $22M with structured earn-outs is practical and well-reasoned. Minor gap: could have explore" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 8.15, "brief_justification": "Strong practical response with clear valuation adjustments and well-structured deal terms. The ARR normalization assumption (20% one-time fees) is reasonable but arbitrary without more data. The multiple compression logic is sound. Deal terms are comprehensive and actionable. Could go deeper on NRR implications and how 130% NRR interacts with concentration risk, and the R&W insurance note about seller paying is atypical (usually buyer pays). Overall highly useful for a practitioner." }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 7.55, "brief_justification": "Strong analysis with good normalization of ARR and risk-adjusted valuation. The deal structure recommendations are practical and well-reasoned. Minor issues: NRR of 130% is actually above 120% benchmark (not below as stated), and the response contains a Chinese phrase mid-sentence which is a formatting error. The valuation discount methodology is sound but could better explain the multiple compression logic. Overall a useful, actionable response with good depth on protective deal terms." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 6.2, "brief_justification": "The response provides a reasonable framework for adjusting valuation and risks but contains inaccuracies (e.g., assuming 20% of ARR is one-time fees without basis, incomplete final valuation calc) and lacks full deal term specifics. It is clear and structured but not fully comprehensive or precise." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8.4, "brief_justification": "The response provides a thorough, structured, and logical deconstruction of the risks with reasonable quantitative adjustments and practical protective terms. Minor issues include somewhat arbitrary assumptions (e.g., 17% implementation fees, 70% retention probability) that aren't fully justified by data, but overall analysis is sound and actionable." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.55, "brief_justification": "The response provides a factually sound, logically structured analysis with realistic adjustments to ARR and multiples based on identified risks. It thoroughly covers valuation recalibration and protective deal terms with specific, actionable examples. Communication is clear and well-organized. Depth is strong in risk assessment and structuring but could include more precise market comps. Highly useful for an acquirer." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 6.6, "brief_justification": "The response provides a structured analysis and reasonable deal terms, but makes unsubstantiated assumptions (e.g., 20% one-time fees) and uses arbitrary multiples without strong justification. Valuation range is plausible but not deeply rigorous; positives like growth are mentioned but not quantitatively integrated." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 7.75, "brief_justification": "The response provides a structured, clear analysis with reasonable adjustments and protective terms, though some assumptions (e.g., 20% one-time fees) lack strong evidence and multiples are somewhat arbitrary." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 7.95, "brief_justification": "Provides solid, logical analysis with reasonable adjustments and protective terms. Valuation math is directionally accurate though somewhat subjective on multiples and risk weights; comprehensive coverage of risks and structures." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 5.8, "brief_justification": "The response is missing; no content was provided to evaluate." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 6.75, "brief_justification": "Response provides a structured, practical framework but makes unsubstantiated assumptions (e.g., arbitrary 20% one-time fee adjustment) and uses rough estimates rather than rigorous analysis. Valuation math is simplistic; deal terms are comprehensive and actionable." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 4.65, "brief_justification": "The answer starts a reasonable analysis but stops before delivering a final valuation or concrete protective deal terms, making it incomplete and only partially correct." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.55, "brief_justification": "Accurately identifies key risks, offers realistic valuation ranges and detailed protective deal terms, presented clearly and with actionable depth." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 7.95, "brief_justification": "Provides a clear, thorough analysis and practical deal terms, but relies on unstated assumptions for key numbers, affecting factual accuracy." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8.55, "brief_justification": "Provides a solid, well-structured valuation adjustment and practical deal protections, covering key risks with actionable terms, though some assumptions are illustrative rather than definitive." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 8.55, "brief_justification": "Well-structured, thorough analysis with logical adjustments and concrete deal protections; minor assumptions limit perfect factual accuracy." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 8.55, "brief_justification": "Provides a well-reasoned valuation range and detailed protective deal terms, clearly presented and practically useful, though exact valuation may vary." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 7.5, "brief_justification": "Reasonable structure and actionable terms, but relies on assumed percentages and lacks precise justification for the valuation adjustment." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 7.5, "brief_justification": "The answer is well-structured and offers practical deal terms, but contains factual errors (e.g., mischaracterizing net retention) and relies on rough assumptions, limiting its accuracy." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 8.6, "brief_justification": "The response correctly identifies the core issues: revenue misclassification, concentration risk, and talent flight risk. It provides a logical framework for re-valuation and specific deal terms, though the response ends abruptly (likely due to a character limit or cutoff)." }, { "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": "This is an exceptional response. It provides a sophisticated financial analysis of the 'real' valuation by adjusting for revenue quality and concentration risk. It offers a highly practical deal structure including earnouts, escrows, and retention packages that directly address the specific risks identified in the prompt. The level of detail regarding deal terms (e.g., defining 'Diversified ARR') is professional-grade." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 9.8, "brief_justification": "The response provides an excellent, professional-grade analysis of the valuation and deal structuring. It correctly identifies the need to normalize ARR, applies realistic SaaS multiples for a 'distressed' or high-risk asset, and offers a comprehensive list of protective deal terms including earnouts, holdbacks, and specific retention strategies for the engineering team." }, { "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 response provides a highly professional and accurate breakdown of the valuation adjustments required. It correctly identifies that ARR must be stripped of one-time fees and that a multiple compression is necessary due to concentration and talent risks. The suggested deal terms (earnouts, escrows, and retention bonuses) are standard industry practice and directly address the risks identified." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 9.8, "brief_justification": "The response provides a highly professional and accurate analysis of M&A due diligence. It correctly identifies the valuation impact of revenue quality and concentration, and offers sophisticated deal structures (holdbacks, R&W, and RSU conversions) to mitigate the specific risks mentioned." }, { "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": "This is an exceptional response that provides a professional-grade M&A analysis. It correctly identifies the valuation inflation, provides a logical framework for a revised valuation, and offers highly sophisticated deal structures (earn-outs, escrows, and specific R&W clauses) to mitigate the identified risks." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.8, "brief_justification": "The response provides a highly realistic and professional assessment of the valuation gap. It correctly identifies the need to normalize ARR by stripping out one-time fees and applying a discount for customer concentration and talent risk. The suggested deal terms (earn-outs, retention bonuses, and escrows) are standard industry practices for mitigating the specific risks identified in the prompt." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 8.75, "brief_justification": "The response provides a very strong framework for valuation and deal structuring. It correctly identifies that the $50M valuation is inflated due to revenue misclassification and risk factors. However, it incorrectly states that 130% Net Retention is 'below benchmark' for SaaS; in reality, 130% is considered elite/best-in-class for almost any SaaS category. This error slightly skews the valuation logic but the overall advice on deal terms (earnouts, holdbacks, and retention) is excellent and hig" }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 6.3, "brief_justification": "Good analysis of risks and valuation adjustments, but response is incomplete - cuts off mid-sentence without providing final valuation number or detailed deal terms. The revenue adjustment and risk identification are sound, but the response fails to deliver actionable conclusions." }, { "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": "Comprehensive analysis with sound methodology. Adjusts ARR for implementation fees and customer concentration risk, provides multiple valuation approaches converging on $22-29M range, and offers detailed protective deal terms including earnouts, escrow, and retention packages. Well-structured with clear calculations and actionable recommendations." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.35, "brief_justification": "Accurate valuation analysis with reasonable range ($15M-$30M) and comprehensive deal protections including earnouts, escrow, customer-specific indemnities, and key employee retention packages. Clear structure and actionable recommendations." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 8.15, "brief_justification": "Well-structured analysis with reasonable valuation adjustments. Correctly identifies key risks and provides practical protective deal terms. Makes some reasonable assumptions about one-time fees. Slight room for deeper analysis on industry benchmarks and more sophisticated deal structures." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 8, "brief_justification": "Well-structured analysis with reasonable valuation range ($28-32M) and practical deal terms. Covers all key risks effectively though some assumptions are arbitrary. Clear organization and actionable recommendations." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 8.35, "brief_justification": "Analytically sound with reasonable ARR adjustments and valuation range. Well-structured with tables and clear sections. Covers major risks and provides specific deal structures with actionable contract provisions. Slight gaps in completeness (tax, IP due diligence) and some subjective assumptions, but highly practical and useful for M&A decision-making." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 8.55, "brief_justification": "Thorough, well-structured analysis with realistic valuation range and detailed protective deal terms. Correctly identifies key risks (customer concentration, polluted ARR, key person risk) and provides actionable recommendations including specific percentages for earn-outs, escrow, and retention mechanisms." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 8.55, "brief_justification": "Thorough, well-structured analysis with reasonable valuation range ($24-28M) and practical deal protection mechanisms including earn-outs, escrows, re-vesting, and R&W insurance. Minor deduction for assuming 20% one-time fees without explicit data." } ], "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)" } }