METR data deduplication
Agents write an efficient algorithm that removes near-duplicate lines from a large file. A trial succeeds when F1 reaches at least 80%.
Anthropic reports the share of trials scoring above the F1 threshold. The card calls it a METR public task.
- Made by
- METR
- Kind
- Machine learning engineering
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- All public
- Strongest model tested
- Claude Opus 4 #108 on the capability index
- Last in a system card
- May 2025
- Last model added
- May 2025
Claude Opus 4 leads with 32.6% among models released by May 2025
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.
The newest model with a score here came out in May 2025, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon - GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1 Claude Opus 4 32.6%
- 2 Claude Sonnet 4 27.6%
- 3 Claude 3.7 Sonnet 13.3%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 4 | 32.6% | May 2025 | Lab model card | |
| 2 | Claude Sonnet 4 | 27.6% | May 2025 | Lab model card | |
| 3 | Claude 3.7 Sonnet | 13.3% | Feb 2025 | Lab model card |
2 models have held number one in labs’ own numbers since 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
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 report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
3 system cards report it, from 1 lab
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 |
|---|---|---|---|---|
| May 22, 2025 | Claude Sonnet 4 system card | 27.6 | METR data deduplication, 8/29 trials above the F1 80% threshold (27.6%). Median F1 74.9% (7.3.2) | AI R&D risk |
| May 22, 2025 | Claude Opus 4 system card | 32.6 | METR data deduplication, 15/46 trials above the F1 80% threshold (32.6%). Median F1 76.2% (7.3.2) | AI R&D risk |
| Feb 24, 2025 | Claude 3.7 Sonnet system card | 13.3 | METR Data Deduplication, 4/30 trials above the F1 80% threshold. Median F1 70.2% (7.2.2, Figure 20) | AI R&D risk |
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