Generalization V2 (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 eight similar candidates. V2 uses 1,247 validated prompts.

Metric: Inverse-Rank Score. Source: github.com. Saturation forecast: Around January 2027. 30 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.6 (Thinking, High)80.6#63 (Claude Opus 4.6)
2GPT-5.4 (xHigh)80#79 (GPT-5.4)
3Gemini 3.1 Pro (Preview)79.4#58
4GPT-5.4 (High)77.4#79 (GPT-5.4)
5GLM-5.169.8#97
6Kimi K2.5 (Thinking)69.4#144 (Kimi K2.5)
7Claude Opus 4.6 (Non-reasoning)68.8#63 (Claude Opus 4.6)
8Claude Sonnet 4.6 (Non-reasoning)68.5#90 (Claude Sonnet 4.6)
9Qwen 3.5 397B A17B65.1#146
10DeepSeek V3.265#205
11Grok 4.20 0309 (Reasoning)63.8#112 (Grok 4.20 0309)
12Gemini 3.1 Flash Lite (Preview)63.3#194
13GPT-5.4 Mini (xHigh)61.7#212 (GPT-5.4 Mini)
14Qwen 3.6 Plus59.5#120
15Seed 2.0 Pro57.1#118

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

Interactive version: theaggregate.ai/benchmark?slug=generalization-v2-lechmazur · How It Works · Data refreshed daily, snapshot 2026-10-20.