multimodal benchmark
Minerva Leaderboard
Minerva is a multimodal benchmark for complex video reasoning.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
Minerva Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score70.70% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score65.90% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
Minerva Highlights
The leading models and scores on this benchmark.
Minerva Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Minerva
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is Minerva?
What Minerva measures and how its scores work.
Minerva is a benchmark that evaluates models on complex video reasoning.
It measures multi-step reasoning over long and information-dense video content using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Minerva
- 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 Minerva.
Which model scores highest on Minerva?
Seed 2.1 Pro is currently ranked first with 70.70%.
What are the top three models on Minerva?
The current leaders are Seed 2.1 Pro (70.70%) and Seed 2.1 Turbo (65.90%).
Which Minerva model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among Minerva 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.