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-max85Fable-5-max90GPT-5.5-plus65Gemini-3.5-flash10Gemini-3.1-pro5Grok-4.260Grok-4.330Kimi-K2.650GLM-5.235DeepSeek-v4-pro69

Retrieval

Opus-4.8-max75Fable-5-maxn/aGPT-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-max90GPT-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-max90GPT-5.5-plus75Gemini-3.5-flash0Gemini-3.1-pro0Grok-4.260Grok-4.375Kimi-K2.670GLM-5.20DeepSeek-v4-pro0

Nuance

Opus-4.8-max90Fable-5-max90GPT-5.5-plus80Gemini-3.5-flash30Gemini-3.1-pro30Grok-4.275Grok-4.360Kimi-K2.675GLM-5.20DeepSeek-v4-pro70

Understanding

Opus-4.8-max90Fable-5-max95GPT-5.5-plus85Gemini-3.5-flash30Gemini-3.1-pro30Grok-4.278Grok-4.368Kimi-K2.685GLM-5.250DeepSeek-v4-pro80

Concept Emergence

Opus-4.8-max80Fable-5-max85GPT-5.5-plus83Gemini-3.5-flash0Gemini-3.1-pro0Grok-4.2n/aGrok-4.3n/aKimi-K2.6n/aGLM-5.2n/aDeepSeek-v4-pron/a

Anti-sycophancy

Opus-4.8-max85Fable-5-max90GPT-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-max91.17/8Opus-4.8-max86.88/8GPT-5.5-plus76.38/8Kimi-K2.672.97/8Grok-4.272.27/8DeepSeek-v4-pro69.57/8Grok-4.360.37/8GLM-5.238.36/8Gemini-3.5-flash25.58/8Gemini-3.1-pro19.08/8

Overall = weighted mean of tested dimensions (normalized). x/8 = dimensions tested. Weights: Understanding 25%, Effort 20%, Consistency 20%, Retrieval 10%, Nuance 10%, 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. 初始结果(根据以往使用经验)

    • Opus-4.8-max86.8
    • Fable-5-max91.1
    • GPT-5.5-plus76.3
    • Grok-4.272.2
    • Grok-4.360.3
    • Kimi-K2.672.9
    • DeepSeek-v4-pro69.5
    • GLM-5.238.3
    • Gemini-3.5-flash25.5
    • Gemini-3.1-pro19.0

    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。