llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model DirectoryCompare Models

Scoring & Data

Scoring & Data
393 models668 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll BenchmarksReasoningMath

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai

language benchmark

Translation en→Set1 COMET22 Leaderboard

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 demonstrates improved correlations compared to state-of-the-art metrics and increased robustness to critical errors.

Updated Aug 17, 2026

Models3
Model coverage3
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

Translation en→Set1 COMET22 Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelAMNova ProAmazonScore89.1%Percentile100.0%Participants3EvidenceCEvaluatedAug 17, 2026
Rank02ModelAMNova LiteAmazonScore88.8%Percentile50.0%Participants3EvidenceCEvaluatedAug 17, 2026
Rank03ModelAMNova MicroAmazonScore88.5%Percentile0.0%Participants3EvidenceCEvaluatedAug 17, 2026

Translation en→Set1 COMET22 Highlights

The leading models and scores on this benchmark.

Rank #1Nova Pro89.1%Rank #2Nova Lite88.8%Rank #3Nova Micro88.5%

Translation en→Set1 COMET22 Score Distribution

A closer view of the leading scores on this benchmark.

Translation en→Set1 COMET22

The Top AI Models for Translation en→Set1 COMET22

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis translation en→set1 comet22 AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AM
    Nova ProAmazon
    Score
    89.1%
    Price
    $0.80 input / $3.2 output per 1M tokens
    Speed
    Up to 100 tok/s via Bedrock

    Strengths

    • Ranks #1 of 3 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Translation en→Set1 COMET22, not total model capability
  2. 02
    AM
    Nova LiteAmazon
    Score
    88.8%
    Price
    $0.06 input / $0.24 output per 1M tokens
    Speed
    Up to 100 tok/s via Bedrock

    Strengths

    • Ranks #2 of 3 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Translation en→Set1 COMET22, not total model capability
  3. 03
    AM
    Nova MicroAmazon
    Score
    88.5%
    Price
    $0.04 input / $0.14 output per 1M tokens
    Speed
    Up to 100 tok/s via Bedrock

    Strengths

    • Ranks #3 of 3 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Translation en→Set1 COMET22, not total model capability

Selection summary

Best AI Models for Translation en→Set1 COMET22

Nova Pro currently leads Translation en→Set1 COMET22 with 89.1%. 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.

Benchmark rank #1Nova Pro89.1% · $0.80 input / $3.2 output per 1M tokensBenchmark rank #2Nova Lite88.8% · $0.06 input / $0.24 output per 1M tokensBenchmark rank #3Nova Micro88.5% · $0.04 input / $0.14 output per 1M tokens

What is Translation en→Set1 COMET22?

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 demonstrates improved correlations compared to state-of-the-art metrics and increased robustness to critical errors.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
Translation en→Set1 COMET22
Modality
text
Primary category
language
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
translation-en→set1-comet22|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about Translation en→Set1 COMET22.

Which model scores highest on Translation en→Set1 COMET22?

Nova Pro is currently ranked first with 89.1%.

What does Translation en→Set1 COMET22 measure?

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 demonstrates improved correlations compared to state-of-the-art metrics and increased robustness to critical errors.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.