multimodal benchmark
TOMATO Leaderboard
TOMATO (Temporal Reasoning Multimodal Evaluation) assesses multimodal models on motion and temporal perception in video, testing understanding of actions, motion, and changes over time.
Updated Aug 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
TOMATO Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score79.5% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score56.8% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
TOMATO Highlights
The leading models and scores on this benchmark.
TOMATO Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for TOMATO
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis tomato 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.
- 01BYSeed 2.1 ProByteDance
- Score
- 79.5%
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures TOMATO, not total model capability
- 02BYSeed 2.1 TurboByteDance
- Score
- 56.8%
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures TOMATO, not total model capability
Selection summary
Best AI Models for TOMATO
Seed 2.1 Pro currently leads TOMATO with 79.5%. 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 TOMATO?
What TOMATO measures and how its scores work.
TOMATO (Temporal Reasoning Multimodal Evaluation) assesses multimodal models on motion and temporal perception in video, testing understanding of actions, motion, and changes over time.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- TOMATO
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- tomato|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about TOMATO.
Which model scores highest on TOMATO?
Seed 2.1 Pro is currently ranked first with 79.5%.
What does TOMATO measure?
TOMATO (Temporal Reasoning Multimodal Evaluation) assesses multimodal models on motion and temporal perception in video, testing understanding of actions, motion, and changes over time.
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.