TSP-Opt
Models find optimal tours for 960 traveling salesman instances across 8 difficulty levels. Answers are checked for optimality.
Microsoft released the dataset on Hugging Face as microsoft/tsp in June 2025, and the Eureka nphard_tsp config loads it.
- Level
- University Undergraduates and entry-level professionals
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
Phi-4-Reasoning-plus leads with 42.6%
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.
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 42.6% | Apr 2025 | Model card | |
| 2 | | 37.5% | Apr 2025 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
2 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 |
|---|---|---|---|---|
| 30 Apr 2025 | | 37.5 | TSP (TSP-Opt), average pass@1 (Figure 8, printed bar label) | Capabilities |
| 30 Apr 2025 | | 42.6 | TSP (TSP-Opt), average pass@1 (Figure 8, printed bar label) | Capabilities |
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