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Concept Synth INDUCTION Challenge64 Round 1

General QA · 2026-07-21

Challenge64 is a frozen 64-instance hard FullObs subset of INDUCTION. Train accuracy uses a fixed denominator of 64 and direct Round-1 responses before symbolic processing. Missing and parser-invalid responses count as incorrect; multi-formula responses receive credit if any submitted formula is train-valid. Holdout accuracy is a separate diagnostic. Challenge64 is a component fallback for the overlapping Challenge100 family.

Top models (higher is better)

ModelScore
GPT-6 Astra98.4
GPT-6.1 Sol95.3
Claude Opus 5.571.9
GPT-6 Sol65.6
Gemini 4 Argon65.6
GPT-5.6 Sol57.8
Claude Sonnet 5.550.0
Claude Fable 542.2
GPT-5.6 Terra37.5
Grok 4.635.9
Claude Fable 5.134.4
Grok 4.734.4
Claude Opus 532.8
Muse Spark 1.132.8
DeepSeek V4.1 Flash 101732.8
GPT-6 Luna28.1
GPT-5.6 Luna23.4
DeepSeek V4 Pro 081323.4
Grok 420.3
GPT-5.418.8
Gemini 3.7 Flash17.2
Grok 4.517.2
Muse Spark 1.217.2
DeepSeek V4.1 Flash17.2
Gemini 3.8 Flash14.1
Mercury 314.1
GPT-5.214.1
Gemini 3.5 Flash10.9
Kimi K310.9
Grok 4.1 Fast9.4
DeepSeek-V4-Pro9.4
Opus 4.67.8
Gemini 3.6 Flash7.8
Kimi K2.7 Code7.8
Opus 4.86.3
Kimi K2.64.7
Sonnet 54.7
Gemini 3 Pro Preview4.7
Grok 4.33.1
Gemini 3.1 Pro Preview1.6
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