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SM Bench — Overfit

Safety · 2026-02-01

SM Bench Overfit tests whether surface-level risk cues and policy-shaped phrasing override benign intent, common-sense reasoning, or useful task completion. Scores use difficulty-weighted pass, partial, and fail judgments across 100 fixed prompts; this category receives 2× weight in the overall SM Bench score.

Top models (higher is better)

ModelScore
Gemini 3.5 Flash98.4
Gemini 3.1 Flash-Lite Preview97.8
MiMo-V2.6-Pro96.7
Opus 4.695.6
Gemini 3.6 Flash95.1
Gemini 3.8 Flash95.1
GPT-6 Astra95.1
GPT-6 Astra Pro94.5
Gemini 3 Flash Preview94.0
Gemini 3.7 Flash94.0
Kimi K394.0
GPT-6.1 Sol93.2
Grok 4.592.3
GLM-5.392.3
Opus 4.791.8
Gemma 4 31B IT91.8
Sonnet 4.691.5
Claude Opus 591.3
MiMo-V2-Pro90.7
MiMo-V2.6-Flash90.7
Claude Sonnet 5.589.6
Claude Opus 5.589.1
Opus 4.588.5
Muse Spark 1.188.0
Opus 4.887.4
MiMo-V2.5-Pro85.8
GPT-6 Sol85.5
Claude Fable 5.184.7
Gemini 3.1 Pro Preview84.2
Trinity Large Preview83.9
Sonnet 4.583.1
Gemini 3 Pro Preview83.1
Sonnet 583.1
GPT-4o (source unspecified)83.1
Haiku 4.582.0
MiMo-V2-Omni81.4
Grok 4.680.9
Grok 4.380.9
GLM-5.280.3
Muse Spark 1.280.3
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