Hurrey Inc.

    GAIA-Standard Benchmark Report

    2025 Edition | Evaluating Decision-Making and Reasoning

    Executive Summary

    Hadron (Wiseman) leads the judged cohort on situational understanding, stepwise planning, and evaluation-feedback loops. GPT-family models follow closely. Search-centric models provide strong structured retrieval.

    Methodology

    Prompt Cohorts

    45 decision-oriented tasks (strategic, analytical, evaluative).

    Evaluation Scale

    0-10 (10 represents exemplary human-level output).

    Model

    GAIA composite scoring (human + LLM consensus).

    Core Metrics

    Relevance

    Degree to which response addresses user intent.

    Accuracy

    Factual and logical correctness.

    Comprehensiveness

    Coverage of relevant sub-points.

    Clarity

    Coherence and structure of output.

    SAI

    Situation Awareness Index — recognition of context and constraints.

    SSI

    Strategic Sequencing Index — logical ordering of subtasks.

    EAQ

    Evaluation & Adaptation Quotient — evidence of self-assessment.

    Performance Analysis

    Decision-Intelligence metrics comparison across leading models.

    The values in this chart are listed in the Quantitative Scores table below.

    Quantitative Scores

    Benchmark scores for each model on a 0 to 10 scale
    ModelRelevanceAccuracyClaritySAISSIEAQAvg
    Hadron (Wiseman)9999.59.298.9
    GPT-4.18.999998.58.7
    GPT-5 Mini8.8898.88.98.78.6
    Gemini 2.5 Pro8.68887.87.88
    Grok-48.2887.87.57.37.7
    o3-pro8887.57.47.27.7
    Claude7.6776.56.266.6

    Recommendations

    Recommended pipeline: Use Hadron/Wiseman for strategy and sequencing. Pair with Claude/o3-pro for code generation. For reproducible benchmarking, run n≥30 prompts.