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
Retrieval
Consistency
Memory
Nuance
Understanding
Concept Emergence
Anti-sycophancy
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
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
- 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。
- 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。