speech to text benchmark
CoVoST2 en-zh Leaderboard
CoVoST 2 English-to-Chinese subset is part of the large-scale multilingual speech translation corpus derived from Common Voice. This subset focuses specifically on English to Chinese speech translation tasks within the broader CoVoST 2 dataset.
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
CoVoST2 en-zh Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score0.414 points | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
CoVoST2 en-zh Highlights
The leading models and scores on this benchmark.
The Top AI Models for CoVoST2 en-zh
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis covost2 en-zh 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.
- 01ACQwen2.5-Omni-7BAlibaba Cloud / Qwen Team
- Score
- 0.414 points
- Price
- $0.10 input / $0.40 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures CoVoST2 en-zh, not total model capability
Selection summary
Best AI Models for CoVoST2 en-zh
Qwen2.5-Omni-7B currently leads CoVoST2 en-zh with 0.414 points. 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.
What is CoVoST2 en-zh?
What CoVoST2 en-zh measures and how its scores work.
CoVoST 2 English-to-Chinese subset is part of the large-scale multilingual speech translation corpus derived from Common Voice. This subset focuses specifically on English to Chinese speech translation tasks within the broader CoVoST 2 dataset.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
- Family
- CoVoST2 en-zh
- Modality
- audio
- Primary category
- speech to text
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- covost2-en-zh|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about CoVoST2 en-zh.
Which model scores highest on CoVoST2 en-zh?
Qwen2.5-Omni-7B is currently ranked first with 0.414 points.
What does CoVoST2 en-zh measure?
CoVoST 2 English-to-Chinese subset is part of the large-scale multilingual speech translation corpus derived from Common Voice. This subset focuses specifically on English to Chinese speech translation tasks within the broader CoVoST 2 dataset.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.