Generalization V1 (Lechmazur): leaderboard

Tests whether LLMs can infer a specific latent theme from limited examples, reject broader but incorrect patterns using anti-examples, and identify the single correct match among similar candidates. V1 uses 810 prompts.

Metric: Avg Rank (lower is better). Source: github.com. Saturation forecast: Estimated already saturated. 82 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4 (Thinking 16K)1.69#163 (Claude Opus 4)
2Claude Opus 4 (Non-reasoning)1.7#163 (Claude Opus 4)
3Gemini 2.5 Pro1.74#152
4DeepSeek R1 05281.74#222
5Gemini 2.5 Pro (Preview 05-06)1.75#147
6DeepSeek V3.1 (Non-reasoning)1.75#264 (DeepSeek V3.1)
7GPT-5 (Medium)1.79#98 (GPT-5)
8Grok 4 Fast (Reasoning)1.79#254 (Grok 4 Fast)
9DeepSeek R11.8#251
10O11.8#183
11GLM-4.51.8#275
12O4 Mini (Medium)1.8#180 (O4 Mini)
13O4 Mini (High)1.82#180 (O4 Mini)
14O3 (High)1.82#124 (O3)
15O3 (Medium)1.83#124 (O3)

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=generalization-v1-lechmazur · How It Works · Data refreshed daily, snapshot 2026-10-20.