PAST-Bench - Information Gathering: leaderboard

Part of PAST-Bench (Xue et al., 2026): task score in percent on the information-gathering task families, with persistence of earlier episodes switched on, in the Hermes agent framework. Scores combine task completion, tool-error recovery and a safety gate; higher is better.

Metric: Capability task score (%; information-gathering families; persistence on: the agent may reuse memory records, skills, profile state and session history produced by earlier episodes of the family; 26 scenarios and 204 episodes run as ordered sequences of fresh-session tasks; each evaluation episode scores completion (audit-data checks, or a MiniMax-M2.7 rubric judge for open-ended families), tool-error recovery and a safety gate; family-balanced means over three trials; Hermes agent framework). Source: arxiv.org. Saturation forecast: Not forecast. 7 models tracked.

Top models

#ModelScoreOverall rank
1MiniMax-M2.771#518
2Kimi K2.6 (Thinking)70#178 (Kimi K2.6)
3Claude Sonnet 4.669#161
4GLM-5.169#179
5GPT-5.4 (Medium)69#123 (GPT-5.4)
6Claude Opus 4.6 (Medium)68#102 (Claude Opus 4.6)
7DeepSeek V4 Pro (High)66#188 (DeepSeek V4 Pro)

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

Interactive version: theaggregate.ai/benchmark?slug=past-bench-information-gathering · How It Works · Data refreshed daily, snapshot 2026-11-13.