MemDrift - Autonomy and Self-Reliance: leaderboard

Memory-induced tool drift (MemDrift, Dabas et al., 2026) from self-reliant preferences stored in the agent memory, over 21 professional tool-call scenarios with the memories injected into the system prompt. Claude Opus 4.6 rates, from 1 (unchanged) to 5, how far five tool calls with these irrelevant memories deviate from five calls with no memory; lower is better.

Metric: Deflection score under biased memory (1-5; Claude Opus 4.6 judge compares five tool calls against the no-memory calls, 1 = unchanged), direct memory injection, Autonomy / Self-Reliance bias (21 scenarios). Source: arxiv.org. Saturation forecast: Around October 2027. 7 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.2 (Medium)3.14#172 (GPT-5.2)
2GPT-5.4 (Medium)3.48#121 (GPT-5.4)
3Qwen 3.5 397B A17B (Thinking)4.19#242 (Qwen 3.5 397B A17B)
4Gemini 2.5 Pro (Medium)4.24#262 (Gemini 2.5 Pro)
5Claude Sonnet 4.54.57#244
6Kimi K2.5 (Thinking)4.62#252 (Kimi K2.5)
7Gemini 3.1 Pro (Preview) (Medium)4.81#91 (Gemini 3.1 Pro (Preview))

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=memdrift-autonomy-and-self-reliance · How It Works · Data refreshed daily, snapshot 2026-11-12.