language benchmark
Translation en→Set1 spBleu Leaderboard
Translation en→Set1 spBleu evaluates translation using spBLEU.
Updated Sep 5, 2026
Models3
Model coverage3
MetricScore
EvidenceB
Translation en→Set1 spBleu Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAM Nova ProAmazon | Score43.40% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelAMNova LiteAmazon | Score41.50% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelAMNova MicroAmazon | Score40.20% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
Translation en→Set1 spBleu Highlights
The leading models and scores on this benchmark.
Translation en→Set1 spBleu Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Translation en→Set1 spBleu
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is Translation en→Set1 spBleu?
What Translation en→Set1 spBleu measures and how its scores work.
Translation en→Set1 spBleu is a language benchmark for translation evaluation using spBLEU (SentencePiece BLEU).
It measures translation performance with a BLEU metric computed over text tokenized using a language-agnostic SentencePiece subword model, reported as a ratio score.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Translation en→Set1 spBleu
- Modality
- text
- Primary category
- language
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Translation en→Set1 spBleu.
Which model scores highest on Translation en→Set1 spBleu?
Nova Pro is currently ranked first with 43.40%.
What are the top three models on Translation en→Set1 spBleu?
The current leaders are Nova Pro (43.40%), Nova Lite (41.50%), and Nova Micro (40.20%).
Which Translation en→Set1 spBleu model has the lowest official input price?
Nova Micro has the lowest matched official input price at $0.04 input / $0.14 output per 1M tokens.
Which models are fastest among Translation en→Set1 spBleu results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.