TRACE Bench - Short-Term Memory: leaderboard

Share of TRACE Bench cases in which the roleplay model correctly recalls a user-injected external fact probed later in the multi-turn dialogue (TRACE Bench, arXiv 2608.11236v1, Table 8). Percent over 200 cases; higher is better; thinking disabled for all targets.

Metric: Memory-probe completion rate (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 26 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.592#33
2MiMo-V2.591#196
3Gemma 4 31B (Non-reasoning)90.5#212 (Gemma 4 31B)
4MiMo-V2.5-Pro90#167
5MiniMax-M2.788.5#270
6Kimi K2.5 (Non-reasoning)87.5#152 (Kimi K2.5)
7DeepSeek V4 Flash87#155
8GLM-5 (Non-reasoning)87#149 (GLM-5)
9Claude Sonnet 4.686#94
10Qwen 3 8B (Non-reasoning)85.5#678 (Qwen 3 8B)
11Qwen 3.5 27B (Non-reasoning)85#192 (Qwen 3.5 27B)
12DeepSeek V4 Pro (Non-reasoning)85#112 (DeepSeek V4 Pro)
13Mistral Small 3.284.5#608
14Qwen 3 14B (Non-reasoning)84#542 (Qwen 3 14B)
15Ministral 3 14B74#664

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

Interactive version: theaggregate.ai/benchmark?slug=trace-bench-short-term-memory · How It Works · Data refreshed daily, snapshot 2026-11-05.