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language benchmark

Translation Set1→en spBleu Leaderboard

spBLEU (SentencePiece BLEU) evaluation metric for machine translation quality assessment, using language-agnostic SentencePiece tokenization with BLEU scoring. Part of the FLORES-101 evaluation benchmark for low-resource and multilingual machine translation.

Updated Aug 17, 2026

Models3
Model coverage3
MetricScore
EvidenceB

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Translation Set1→en spBleu Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelAMNova ProAmazonScore44.4%Percentile100.0%Participants3EvidenceCEvaluatedAug 17, 2026
Rank02ModelAMNova LiteAmazonScore43.1%Percentile50.0%Participants3EvidenceCEvaluatedAug 17, 2026
Rank03ModelAMNova MicroAmazonScore42.6%Percentile0.0%Participants3EvidenceCEvaluatedAug 17, 2026

Translation Set1→en spBleu Highlights

The leading models and scores on this benchmark.

Rank #1Nova Pro44.4%Rank #2Nova Lite43.1%Rank #3Nova Micro42.6%

Translation Set1→en spBleu Score Distribution

A closer view of the leading scores on this benchmark.

Translation Set1→en spBleu

The Top AI Models for Translation Set1→en spBleu

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

Ranking basisThis translation set1→en spbleu 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
    44.4%
    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 Set1→en spBleu, not total model capability
  2. 02
    AM
    Nova LiteAmazon
    Score
    43.1%
    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 Set1→en spBleu, not total model capability
  3. 03
    AM
    Nova MicroAmazon
    Score
    42.6%
    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 Set1→en spBleu, not total model capability

Selection summary

Best AI Models for Translation Set1→en spBleu

Nova Pro currently leads Translation Set1→en spBleu with 44.4%. 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 Pro44.4% · $0.80 input / $3.2 output per 1M tokensBenchmark rank #2Nova Lite43.1% · $0.06 input / $0.24 output per 1M tokensBenchmark rank #3Nova Micro42.6% · $0.04 input / $0.14 output per 1M tokens

What is Translation Set1→en spBleu?

What Translation Set1→en spBleu measures and how its scores work.

spBLEU (SentencePiece BLEU) evaluation metric for machine translation quality assessment, using language-agnostic SentencePiece tokenization with BLEU scoring. Part of the FLORES-101 evaluation benchmark for low-resource and multilingual machine translation.

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

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

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

FAQ

Common questions about Translation Set1→en spBleu.

Which model scores highest on Translation Set1→en spBleu?

Nova Pro is currently ranked first with 44.4%.

What does Translation Set1→en spBleu measure?

spBLEU (SentencePiece BLEU) evaluation metric for machine translation quality assessment, using language-agnostic SentencePiece tokenization with BLEU scoring. Part of the FLORES-101 evaluation benchmark for low-resource and multilingual machine translation.

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.