Translation en->Set1 spBleu: leaderboard
Translation evaluation using spBLEU (SentencePiece BLEU), a BLEU metric computed over text tokenized with a language-agnostic SentencePiece subword model. Introduced in the FLORES-101 evaluation benchmark for low-resource and multilingual machine translation.
Metric: en→Set1 spBLEU (self-reported). Source: benchmarklist.com. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Nova Pro | 43.4 |
| 2 | GPT-4o | 43.1 |
| 3 | Gemini 1.5 Pro (002) | 43 |
| 4 | Claude 3.5 Sonnet | 42.5 |
| 5 | Nova Lite | 41.5 |
| 6 | GPT-4o Mini | 41.1 |
| 7 | Nova Micro | 40.2 |
| 8 | Gemini 1.5 Flash (002) | 40 |
| 9 | Claude 3.5 Haiku | 40 |
| 10 | Llama 3.2 90B | 39.7 |
| 11 | Gemini 1.5 Flash-8B (001) | 38.2 |
| 12 | Llama 3.1 8B | 32.7 |
Interactive version: theaggregate.ai/benchmark?slug=translation-en-over-set1-spbleu · How It Works · Data refreshed daily, snapshot 2026-09-05.