TIDE Trajectory - FrozenLake - AUV: leaderboard

Trajectory-based diagnostics under the original unified agent interface, paper v2 Table 1. Five environments keep their own success rates and area under variation; AUV uses the printed 0-100 scale and measures progress across turns. Thinking and non-thinking backbones remain distinct. Separate from TIDE-Bench tool-integrated reasoning. This series reports Area Under Variation (0-100). Source: https://arxiv.org/html/2602.02196v2.

Metric: Area Under Variation (0-100). Source: arxiv.org. Saturation forecast: Around February 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro75#159
2GPT-OSS-120B73.8#346
3DeepSeek V3.2 (Non-reasoning)73.1#210 (DeepSeek V3.2)
4DeepSeek R172.6#262
5Gemini 2.5 Flash (Non-reasoning)70.7#255 (Gemini 2.5 Flash)
6Phi-450.8#707
7GLM-4 32B (0414)49.9#539
8Phi-4 (Reasoning)48.8#707 (Phi-4)
9Llama 3.3 70B Instruct34.7#541
10Llama 3.1 8B Instruct8.4#1017
11GLM-4 9B Chat7.2#911

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

Interactive version: theaggregate.ai/benchmark?slug=tide-trajectory-frozenlake-auv · How It Works · Data refreshed daily, snapshot 2026-11-05.