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LMCA

General QA · 2026-07-29

LMCA (Language Model Conceptual Argumentation) tests how well models judge arguments on conceptual questions in philosophy, decision theory and AI safety. Models rate expert-curated critiques of position texts, and the score is the Pearson correlation between the model's 'overall' ratings and the mean expert 'overall' rating, times 100 and floored at 0. The rated set grows over time (1,461 rated critiques of 560 position texts in October 2026), and the maintainers estimate the ceiling at about 85.

Top models (higher is better)

ModelScore
Claude Sonnet 5.568.3
Claude Opus 5.568.2
Claude Fable 5.165.5
Claude Opus 564.5
GPT-6 Astra64.4
Gemini 4 Argon63.7
GPT-6.1 Sol62.8
Claude Fable 561.1
GPT-6 Sol59.1
GPT-5.6 Sol58.5
Opus 4.857.5
Muse Wonder56.8
Opus 4.655.8
GLM-5.355.5
GPT-5.6 Terra55.0
GPT-5.554.3
GPT-5.5 Pro53.9
Muse Spark 1.353.9
Gemini 3.1 Pro Preview53.8
Gemini 3.8 Flash52.9
Kimi K352.7
Opus 4.752.2
GPT-5.452.0
Claude Haiku 5.551.1
Gemini 3.7 Flash50.4
Sonnet 550.0
Muse Spark 1.149.9
Grok 4.749.4
GPT-5.6 Luna48.5
Grok 4.648.5
Gemini 3.5 Flash47.1
DeepSeek V4.1 Flash47.0
Sonnet 4.646.5
Qwen3.8-Max46.2
Qwen3.8 2.4T A95B45.5
DeepSeek V4 Pro 081345.5
Gemini 3.6 Flash44.9
GPT-6 Luna44.5
Opus 4.544.5
Qwen3.7-Max (source unspecified)44.0
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