agents benchmark
FrontierSWE measures whether an agent can complete open-ended technical projects at the scale of hours to tens of hours, spanning systems optimization, large-scale code construction, and applied ML research. Performance is reported as a dominance score, where higher is better.
Updated Aug 11, 2026
Higher score ranks better on this benchmark.
| 01 | AN | 90.0% | 100.0% | 15 | B | |
| 02 | MA | 81.2% | 92.9% | 15 | C | |
| 03 | AN | 75.0% | 85.7% | 15 | B | |
| 04 | ZA | 74.0% | 78.6% | 15 | B | |
| 05 | AC | 73.5% | 71.4% | 15 | C | |
| 06 | OP | 73.0% | 64.3% | 15 | B | |
| 07 | AN | 63.0% | 57.1% | 15 | B | |
| 08 | AN | 56.0% | 50.0% | 15 | B | |
| 09 | OP | 54.0% | 42.9% | 15 | B | |
| 10 | GO | 40.0% | 35.7% | 15 | B | |
| 11 | ZA | 31.0% | 28.6% | 15 | B | |
| 12 | DE | 29.0% | 21.4% | 15 | B | |
| 13 | MA | 27.0% | 14.3% | 15 | B | |
| 14 | MA | 26.0% | 7.1% | 15 | B | |
| 15 | AC | 22.0% | 0.0% | 15 | B |
A closer view of the leading scores on this benchmark.
The leading models and scores on this benchmark.
What FrontierSWE measures and how its scores work.
FrontierSWE measures whether an agent can complete open-ended technical projects at the scale of hours to tens of hours, spanning systems optimization, large-scale code construction, and applied ML research. Performance is reported as a dominance score, where higher is better.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about FrontierSWE.
Claude Fable 5 is currently ranked first with 90.0%.
FrontierSWE measures whether an agent can complete open-ended technical projects at the scale of hours to tens of hours, spanning systems optimization, large-scale code construction, and applied ML research. Performance is reported as a dominance score, where higher is better.
Yes. Higher values rank better for this benchmark.
15 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.