Benchmark Almanac

AgentIF-OneDay

AutoClaw 79.9% tops its leaderboard ChatGPT agent 62.6% leads the models we track
Not in model cards

Agents complete 104 tasks that stand for a full day of human work, life and study. Tasks include tedious workflows, inferring rules from examples and changing requirements.

First of the AgentIF series. An LLM judge script grades results. Manus, Genspark and ChatGPT Agent scored about 62 to 65% at launch. Not the THU-KEG AgentIF.

Released
December 2025
Kind
General assistants
Level
Expert
Scored
Graded by a model
Answers
Agent task
Tasks
All public
Last model added
July 2025
Scores refreshed
November 12th, 2026
5
Entries on its own leaderboard, 1 model we track

AutoClaw tops the leaderboard with 79.9%

Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders. The best model we track is ChatGPT agent, at 62.6%.

  1. 1 AutoClaw 79.9%
  2. 2 Manus 64.5%
  3. 3 Genspark 63.5%
  4. 4 ChatGPT agent 62.6%
  5. 5 MiniMax-Agent 56.2%

Source: Official AgentIF-OneDay leaderboard

#EntryScoreSettingDateSource
1 AutoClaw 79.9% May 2026 Official leaderboard
2 Manus 64.5% Dec 2025 Official leaderboard
3 Genspark 63.5% Dec 2025 Official leaderboard
4 ChatGPT agent 62.6% Jul 2025 Official leaderboard
5 MiniMax-Agent 56.2% Dec 2025 Official leaderboard

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard
0% 20% 40% 60% 80% 100% Near the ceiling (85%) ChatGPT agent 0% 20% 40% 60% 80% 100% Near the ceiling (85%) ChatGPT agent

Source: Official AgentIF-OneDay leaderboard

No lab model card reports it yet

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.

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