language benchmark
FLEURS Leaderboard
FLEURS is a parallel speech dataset in 102 languages built on FLoRes-101, with approximately 12 hours of speech supervision per language.
Updated Sep 5, 2026
Models6
Model coverage6
MetricScore
EvidenceB
FLEURS Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score95.90% | Percentile100.00% | Participants6 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score93.60% | Percentile80.00% | Participants6 | EvidenceB | Evaluated |
| Rank03 | ModelGO | Score93.30% | Percentile60.00% | Participants6 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score93.10% | Percentile40.00% | Participants6 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score90.40% | Percentile20.00% | Participants6 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score86.40% | Percentile0.00% | Participants6 | EvidenceC | Evaluated |
FLEURS Highlights
The leading models and scores on this benchmark.
FLEURS Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for FLEURS
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is FLEURS?
What FLEURS measures and how its scores work.
FLEURS stands for Few-shot Learning Evaluation of Universal Representations of Speech and is a parallel speech dataset for tasks including ASR, speech language identification, translation and retrieval.
It measures speech recognition accuracy, calculated as 1 - word error rate, with higher scores being better.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- FLEURS
- Modality
- audio
- 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 FLEURS.
Which model scores highest on FLEURS?
Qwen2.5-Omni-7B is currently ranked first with 95.90%.
What are the top three models on FLEURS?
The current leaders are Qwen2.5-Omni-7B (95.90%), Gemini 1.0 Pro (93.60%), and Gemini 1.5 Pro (93.30%).
Which FLEURS model has the lowest official input price?
Qwen2.5-Omni-7B has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
Which models are fastest among FLEURS results?
The fastest matched records are Gemini 1.5 Flash (150.00 tok/s via Google), Gemini 1.5 Flash 8B (150.00 tok/s via Google), and Gemini 1.0 Pro (120.00 tok/s via Google).
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.