long context benchmark
EgoSchema is a diagnostic benchmark for very long-form video language understanding with over 5000 human curated multiple choice questions based on 3-minute video clips from Ego4D.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score77.90% | Percentile100.00% | Participants9 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score76.20% | Percentile87.50% | Participants9 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score72.20% | Percentile75.00% | Participants9 | EvidenceC | Evaluated |
| Rank04 | ModelAM | Score72.10% | Percentile62.50% | Participants9 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score71.50% | Percentile50.00% | Participants9 | EvidenceC | Evaluated |
| Rank06 | ModelAM | Score71.40% | Percentile37.50% | Participants9 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score68.60% | Percentile25.00% | Participants9 | EvidenceC | Evaluated |
| Rank08 | ModelGO | Score67.20% | Percentile12.50% | Participants9 | EvidenceC | Evaluated |
| Rank09 | ModelGO | Score55.70% | Percentile0.00% | Participants9 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What EgoSchema measures and how its scores work.
EgoSchema is a long_context benchmark covering natural human activities and behaviors in Ego4D video clips.
It measures very long-form video language understanding using multiple choice questions, reported as Score in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about EgoSchema.
Qwen2-VL-72B-Instruct is currently ranked first with 77.90%.
The current leaders are Qwen2-VL-72B-Instruct (77.90%), Qwen2.5 VL 72B Instruct (76.20%), and GPT-4o (72.20%).
Nova Lite has the lowest matched official input price at $0.06 input / $0.24 output per 1M tokens.
The fastest matched records are Gemini 2.0 Flash (183.00 tok/s via Google), GPT-4o (132.00 tok/s via OpenAI), and Gemini 1.0 Pro (120.00 tok/s via Google).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures very long-form video language understanding using multiple choice questions, reported as Score in ratio units.
Yes. Higher values rank better for this benchmark.
9 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis egoschema AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Qwen2-VL-72B-Instruct currently leads EgoSchema with 77.90%. 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.