multimodal benchmark
TOMATO Leaderboard
TOMATO (Temporal Reasoning Multimodal Evaluation) assesses multimodal models on motion and temporal perception in video.
Updated Sep 5, 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 | Score79.50% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score56.80% | Percentile0.00% | 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.
What is TOMATO?
What TOMATO measures and how its scores work.
TOMATO is a multimodal benchmark for evaluating models on video-based temporal reasoning.
It measures understanding of actions, motion, and changes over time, reported as a Score ratio.
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
- overall
LLM Stats. 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 79.50%.
What are the top three models on TOMATO?
The current leaders are Seed 2.1 Pro (79.50%) and Seed 2.1 Turbo (56.80%).
Which TOMATO model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among TOMATO results?
No matched runtime record is currently available.
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.