Random Complex Tasks (LongCat)
Agents solve 100 tasks sampled from a generator that builds random executable tool environments across more than four domains. Scored by Avg@4, averaged over three runs.
In-house test of generalization to unseen tool environments. Meituan says it will add it to an open evaluation platform.
- Made by
- Meituan LongCat Team
- Released
- January 2026
- Kind
- Apps and MCP servers
- Level
- University
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
- Last in a launch post
- January 2026, dropped before it saturated
- Last model added
- January 2026
LongCat-Flash-Thinking-2601 leads with 35.8%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 35.8% | Jan 2026 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs headline it less often now, last in January 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Jan 14, 2026 | 35.8 | Random Complex Tasks (Avg@4) |
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Jan 23, 2026 | | 35.8 | Random Complex Tasks (Avg@4), mean of 3 runs (Table 2) | Capabilities |
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