language benchmark
Translation Set1→en spBleu Leaderboard
Translation Set1→en spBleu is a machine translation quality evaluation using spBLEU scoring.
Updated Sep 5, 2026
Models3
Model coverage3
MetricScore
EvidenceB
Translation Set1→en spBleu Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAM Nova ProAmazon | Score44.40% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelAMNova LiteAmazon | Score43.10% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelAMNova MicroAmazon | Score42.60% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
Translation Set1→en spBleu Highlights
The leading models and scores on this benchmark.
Translation Set1→en spBleu Score Distribution
A closer view of the leading scores on this benchmark.
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.
What is Translation Set1→en spBleu?
What Translation Set1→en spBleu measures and how its scores work.
Translation Set1→en spBleu is part of the FLORES-101 evaluation benchmark for low-resource and multilingual machine translation.
It measures machine translation quality with BLEU scoring based on language-agnostic SentencePiece tokenization.
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
- No
- Evaluation key
- overall
LLM Stats. 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 44.40%.
What are the top three models on Translation Set1→en spBleu?
The current leaders are Nova Pro (44.40%), Nova Lite (43.10%), and Nova Micro (42.60%).
Which Translation Set1→en 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 Set1→en 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.