multimodal benchmark
VATEX Leaderboard
VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research. Contains over 41,250 videos and 825,000 captions in both English and Chinese, with over 206,000 English-Chinese parallel translation pairs. Supports multilingual video captioning and video-guided machine translation tasks.
Updated Aug 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
VATEX Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAM Nova LiteAmazon | Score77.8% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelAMNova ProAmazon | Score77.8% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
VATEX Highlights
The leading models and scores on this benchmark.
VATEX Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for VATEX
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis vatex 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.
- 01AMNova LiteAmazon
- Score
- 77.8%
- Price
- $0.06 input / $0.24 output per 1M tokens
- Speed
- Up to 100 tok/s via Bedrock
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures VATEX, not total model capability
- 02AMNova ProAmazon
- Score
- 77.8%
- Price
- $0.80 input / $3.2 output per 1M tokens
- Speed
- Up to 100 tok/s via Bedrock
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures VATEX, not total model capability
Selection summary
Best AI Models for VATEX
Nova Lite currently leads VATEX with 77.8%. 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 VATEX?
What VATEX measures and how its scores work.
VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research. Contains over 41,250 videos and 825,000 captions in both English and Chinese, with over 206,000 English-Chinese parallel translation pairs. Supports multilingual video captioning and video-guided machine translation tasks.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- VATEX
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- vatex|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about VATEX.
Which model scores highest on VATEX?
Nova Lite is currently ranked first with 77.8%.
What does VATEX measure?
VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research. Contains over 41,250 videos and 825,000 captions in both English and Chinese, with over 206,000 English-Chinese parallel translation pairs. Supports multilingual video captioning and video-guided machine translation tasks.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 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.