language benchmark
Translation en→Set1 COMET22 is a machine translation evaluation benchmark using COMET-22.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAM | Score89.10% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelAM | Score88.80% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelAM | Score88.50% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading 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.
What Translation en→Set1 COMET22 measures and how its scores work.
COMET-22 is an ensemble machine translation evaluation metric combining a COMET estimator model trained with Direct Assessments and a multitask model that predicts sentence-level scores and word-level OK/BAD tags.
It measures machine translation quality using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Translation en→Set1 COMET22.
Nova Pro is currently ranked first with 89.10%.
The current leaders are Nova Pro (89.10%), Nova Lite (88.80%), and Nova Micro (88.50%).
Nova Micro has the lowest matched official input price at $0.04 input / $0.14 output per 1M tokens.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures machine translation quality using the Score metric, reported as a ratio.
Yes. Higher values rank better for this benchmark.
3 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis translation en→set1 comet22 AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Nova Pro currently leads Translation en→Set1 COMET22 with 89.10%. 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.