Beta
BenchmarksReading · ~3 min · 50 words deep

VideoMME

VideoMME is a multimodal benchmark tracked by BenchGecko across every frontier and open-weight model.

VideoMME leaderboard
TL;DR

VideoMME is a multimodal benchmark tracked by BenchGecko across every frontier and open-weight model.

Level 1

VideoMME is a multimodal benchmark tracked by BenchGecko across every frontier and open-weight model.

Level 2

VideoMME is a multimodal benchmark tracked by BenchGecko across every frontier and open-weight model. BenchGecko tracks VideoMME scores for every eligible frontier and open-weight model. The metric is % with a maximum of 100. Category · multimodal. Source · public leaderboard. See the live leaderboard for the current top 10.

Level 3

VideoMME is a multimodal benchmark tracked by BenchGecko across every frontier and open-weight model. Technical details: the benchmark uses % scored against 100 as max. Primary category is multimodal. Source ingestion runs through the public leaderboard with the update cadence documented on the methodology page. Correlations with downstream capability have been studied in the public literature and the benchmark's authors' release notes.

The takeaway for you
If you are a
Researcher
  • ·VideoMME measures multimodal capability with % scoring
  • ·Source: public leaderboard · tracked on BenchGecko's /benchmark page
  • ·Used to compare frontier models on multimodal-specific tasks
If you are a
Builder
  • ·Pick models with high VideoMME if your workload matches multimodal
  • ·Benchmark scores correlate with real-world quality only for matched task types
  • ·Check the live leaderboard before locking in a model · rankings shift weekly
If you are a
Investor
  • ·VideoMME is one of the citations labs use in launch announcements
  • ·Saturation at the top of the leaderboard signals the benchmark is aging
  • ·Watch for new benchmarks when all frontier models cluster within 2 points
If you are a
Curious · Normie
  • ·VideoMME is a test that scores how good an AI is at multimodal
  • ·Higher score = better model on that specific kind of task
  • ·Not every score matters for every use · match the test to your goal
Gecko's take

VideoMME multimodal score delta vs text-only is the actual signal · ignore the headline number.

VideoMME is a multimodal benchmark tracked by BenchGecko across every frontier and open-weight model.