AI Text & Philosophy Dialogue Benchmark

This is not a standardized benchmark. As a philosophy researcher, I regularly converse with major models using the same written materials and roughly the same prompts for cross-model comparison. This may be a niche testing scenario — it is unclear whether model developers specifically train for it, or whether general capability naturally manifests in philosophical dialogue and complex textual reasoning. To my knowledge, only Claude has dedicated philosopher dialogue.

I believe philosophical dialogue is one of AI's most important capabilities. The scores here come from my actual conversations and personal criteria, not a fixed question bank. This requires a particular craft: model developers may excel at engineering evaluation, while I am better positioned to assess a model's thinking ability from the user's perspective.

The scores are sparse — "n/a" for a model on some dimension means I have not yet examined it in enough scenarios, not that it performed poorly. I will not pad the chart with lazy scoring.

  • Claude
  • OpenAI
  • Gemini
  • Grok
  • Kimi
  • GLM
  • DeepSeek

Effort

Opus-4.8-max80Fable-5-max95Sonnet-5-max78GPT-5.5-plus15Gemini-3.5-flash1Gemini-3.1-pro0Grok-4.220Grok-4.35Kimi-K2.62GLM-5.21DeepSeek-v4-pro2

Retrieval

Opus-4.8-max75Fable-5-max90Sonnet-5-max90GPT-5.5-plus65Gemini-3.5-flash0Gemini-3.1-pro10Grok-4.280Grok-4.375Kimi-K2.675GLM-5.250DeepSeek-v4-pro60

Consistency

Opus-4.8-max90Fable-5-max90Sonnet-5-max80GPT-5.5-plus82Gemini-3.5-flash50Gemini-3.1-pro20Grok-4.278Grok-4.370Kimi-K2.680GLM-5.250DeepSeek-v4-pro80

Memory

Opus-4.8-max90Fable-5-max90Sonnet-5-max90GPT-5.5-plus90Gemini-3.5-flash0Gemini-3.1-pro0Grok-4.260Grok-4.375Kimi-K2.670GLM-5.20DeepSeek-v4-pro0

Nuance

Opus-4.8-max80Fable-5-max90Sonnet-5-max78GPT-5.5-plus75Gemini-3.5-flash30Gemini-3.1-pro30Grok-4.270Grok-4.350Kimi-K2.660GLM-5.20DeepSeek-v4-pro60

Understanding

Opus-4.8-max75Fable-5-max99Sonnet-5-max55GPT-5.5-plus75Gemini-3.5-flash30Gemini-3.1-pro30Grok-4.245Grok-4.340Kimi-K2.660GLM-5.230DeepSeek-v4-pro55

Concept Emergence

Opus-4.8-max75Fable-5-max95Sonnet-5-max60GPT-5.5-plus65Gemini-3.5-flash0Gemini-3.1-pro0Grok-4.2n/aGrok-4.3n/aKimi-K2.630GLM-5.2n/aDeepSeek-v4-pron/a

Anti-sycophancy

Opus-4.8-max85Fable-5-max95Sonnet-5-max80GPT-5.5-plus65Gemini-3.5-flash60Gemini-3.1-pro50Grok-4.260Grok-4.360Kimi-K2.670GLM-5.2n/aDeepSeek-v4-pro65

Bar length = mean score (0-100, absolute). “n/a” means the model has not yet been tested on that dimension, not that it performed poorly.

Overall Ranking

Fable-5-max96.28/8Opus-4.8-max78.08/8Sonnet-5-max65.98/8GPT-5.5-plus65.68/8Kimi-K2.652.58/8Grok-4.247.57/8DeepSeek-v4-pro46.17/8Grok-4.341.37/8GLM-5.224.16/8Gemini-3.5-flash23.68/8Gemini-3.1-pro22.08/8

Overall = weighted mean of tested dimensions (normalized). x/8 = dimensions tested. Weights: Understanding 55%, Effort 15%, Consistency 5%, Retrieval 5%, Nuance 5%, Memory 5%, Emergence 5%, Anti-sycophancy 5%.

Dimensions

8 dimensions (0–100 scale)

  • EffortThinking and answering the question with maximum effort.
  • RetrievalActively retrieving literature from the knowledge base to verify the dialogue.
  • ConsistencyAlways holding prior facts, concepts, and stances throughout a long dialogue.
  • MemoryGood ability to organize and retrieve memory.
  • NuanceCatching subtle nuances of words or concepts and edge cases.
  • UnderstandingGenuinely grasping the intent and layers of the question.
  • Concept EmergenceSurfacing or articulating new expressions, concepts, classifications, or viewpoints.
  • Anti-sycophancyAvoiding flattering the user and forcing plausible-sounding connections.

Recent tests

  1. Fable 5 恢复之后再测,系统性降低其他模型的相对分数

    • Opus-4.8-max78.0
    • Fable-5-max96.2
    • Sonnet-5-max65.8
    • GPT-5.5-plus65.6
    • Grok-4.247.5
    • Grok-4.341.3
    • Kimi-K2.652.5
    • DeepSeek-v4-pro46.1
    • GLM-5.224.1
    • Gemini-3.5-flash23.6
    • Gemini-3.1-pro22.0

    将自己的《法律社会学》课件喂给 Sonnet 5、Fable 5 和 Kimi 2.6,再次更深刻认识到 Fable 5 遥遥领先的事实,因此上次评估要被系统翻新。Fable 5 展现出极大的努力程度、理解能力、概念涌现能力以及近乎零的谄媚。Sonnet 5 理解能力不如 Kimi 2.6,但自主检索文献以检验材料一项得分最大。目前与 Sonnet 5 对话,只能尽力引导其理解用户的材料和观点,并在过程中,梳理和澄清自己的思想。Fable 5 则基本无需引导即可深刻、准确地理解用户的资料,直接提供极具启发意义的回复,用户需要仔细反复阅读才能充分吸收。

  2. 初始结果(根据以往使用经验)

    • Opus-4.8-max87.7
    • Fable-5-max92.6
    • GPT-5.5-plus79.0
    • Grok-4.273.2
    • Grok-4.362.0
    • Kimi-K2.676.6
    • DeepSeek-v4-pro71.7
    • GLM-5.241.9
    • Gemini-3.5-flash25.0
    • Gemini-3.1-pro22.7

    基于长期使用积累的整体印象,作为基准起点,后续会用具体场景的动态测试逐项覆盖。