agents benchmark
FrontierSWE (Impl.) evaluates software engineering implementation ability and reports model ranking on implementation tasks. Lower rank is better.
Updated Aug 17, 2026
Lower rank ranks better on this benchmark.
Rank | Model | Rank | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXI | Rank3.4 rank | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis frontierswe (impl.) AI model leaderboard uses ascending rank in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
MiMo-V2.5-Pro currently leads FrontierSWE (Impl.) with 3.4 rank. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What FrontierSWE (Impl.) measures and how its scores work.
FrontierSWE (Impl.) evaluates software engineering implementation ability and reports model ranking on implementation tasks. Lower rank is better.
Scores are shown in rank. 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 (Impl.).
MiMo-V2.5-Pro is currently ranked first with 3.4 rank.
FrontierSWE (Impl.) evaluates software engineering implementation ability and reports model ranking on implementation tasks. Lower rank is better.
No. Lower values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.