Introducing Laguna S 2.1 (Poolside blog) Jul 21, 2026
- Terminal-Bench 2.1 70.2
- SWE-Bench Multilingual 78.5
- SWE-Bench Pro (Public Dataset) 59.4
- DeepSWE 40.4
- SWE Atlas (Codebase QnA) 46.2
- Toolathlon Verified 49.7
Laguna S 2.1.
Open weights Mid-size
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BullshitBench | 23.6% | #64 of 107 | Official leaderboard | |
| BullshitBench V2 | 22% | #89 of 129 | Official leaderboard | |
| StudyArena Text | 1,193 | #66 of 85 | Official leaderboard | |
| OpenAI MRCR v2 | 4.49% | #46 of 47 | Official leaderboard |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SWE-bench Multilingual | 78.5% | #17 of 73 | Lab model card | |
| SWE-Bench Pro | 59.4% | #29 of 81 | Lab model card | |
| SWE Atlas | 46.2% | #11 of 14 | Lab model card | |
| DeepSWE | 40.4% | #53 of 56 | Lab model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Terminal-Bench 2.1 | 70.2% | #39 of 56 | Lab model card | |
| RuneBench | 2.82 | #67 of 76 | Official leaderboard | |
| Toolathlon-Verified | 49.7% | #20 of 21 | Lab model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| GlobeBench | 2.45% | #19 of 19 | Official leaderboard |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| nocot-bench (NCRI) | 62.5 | #132 of 185 | Official leaderboard |
The Self-Reported Index fits one score to the 6 capability results Poolside reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 145.3 to 152.6. How we compute it.
The benchmarks the lab chose to headline, with the scores it gave.