TRACE Bench - Character Consistency: leaderboard

Share of prebuilt role-profile checklist items (excluding memory probes) that a roleplay model completes during agent-driven dialogues (TRACE Bench, arXiv 2608.11236v1, Table 8). Percent; higher is better. 26 API, open and roleplay-tuned models, temperature 0.8 with thinking disabled.

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

Top models

#ModelScoreOverall rank
1Gemma 4 31B (Non-reasoning)95.46#212 (Gemma 4 31B)
2MiMo-V2.5-Pro94.95#167
3Claude Sonnet 4.694.68#94
4Qwen 3.5 27B (Non-reasoning)94.53#192 (Qwen 3.5 27B)
5GPT-5.594.42#33
6Kimi K2.5 (Non-reasoning)94.25#152 (Kimi K2.5)
7MiniMax-M2.794#270
8MiMo-V2.593.94#196
9GLM-5 (Non-reasoning)93.94#149 (GLM-5)
10DeepSeek V4 Pro (Non-reasoning)93.56#112 (DeepSeek V4 Pro)
11DeepSeek V4 Flash91.81#155
12Qwen 3 14B (Non-reasoning)88.36#542 (Qwen 3 14B)
13Ministral 3 14B87.82#664
14Mistral Small 3.287.57#608
15Qwen 3 8B (Non-reasoning)85.44#678 (Qwen 3 8B)

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-character-consistency · How It Works · Data refreshed daily, snapshot 2026-11-05.