long context benchmark
EgoSchema Leaderboard
A diagnostic benchmark for very long-form video language understanding consisting of over 5000 human curated multiple choice questions based on 3-minute video clips from Ego4D, covering a broad range of natural human activities and behaviors
Updated Aug 17, 2026
Models9
Model coverage9
MetricScore
EvidenceB
EgoSchema Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score77.9% | Percentile100.0% | Participants9 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score76.2% | Percentile87.5% | Participants9 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score72.2% | Percentile75.0% | Participants9 | EvidenceC | Evaluated |
| Rank04 | ModelAM Nova ProAmazon | Score72.1% | Percentile62.5% | Participants9 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score71.5% | Percentile50.0% | Participants9 | EvidenceC | Evaluated |
| Rank06 | ModelAMNova LiteAmazon | Score71.4% | Percentile37.5% | Participants9 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score68.6% | Percentile25.0% | Participants9 | EvidenceC | Evaluated |
| Rank08 | ModelGO | Score67.2% | Percentile12.5% | Participants9 | EvidenceC | Evaluated |
| Rank09 | ModelGO | Score55.7% | Percentile0.0% | Participants9 | EvidenceC | Evaluated |
EgoSchema Highlights
The leading models and scores on this benchmark.
EgoSchema Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for EgoSchema
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis egoschema 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.
- 01ACQwen2-VL-72B-InstructAlibaba Cloud / Qwen Team
- Score
- 77.9%
Strengths
- Ranks #1 of 9 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures EgoSchema, not total model capability
- 02ACQwen2.5 VL 72B InstructAlibaba Cloud / Qwen Team
- Score
- 76.2%
Strengths
- Ranks #2 of 9 compared models
- 88th percentile on this benchmark
- C evidence result
Considerations
- This result measures EgoSchema, not total model capability
- 03OPGPT-4oOpenAI
- Score
- 72.2%
- Price
- $2.5 input / $10 output per 1M tokens
- Speed
- Up to 132 tok/s via OpenAI
Strengths
- Ranks #3 of 9 compared models
- 75th percentile on this benchmark
- C evidence result
Considerations
- This result measures EgoSchema, not total model capability
- 04AMNova ProAmazon
- Score
- 72.1%
- Price
- $0.80 input / $3.2 output per 1M tokens
- Speed
- Up to 100 tok/s via Bedrock
Strengths
- Ranks #4 of 9 compared models
- 63th percentile on this benchmark
- C evidence result
Considerations
- This result measures EgoSchema, not total model capability
- 05GOGemini 2.0 FlashGoogle
- Score
- 71.5%
- Speed
- Up to 183 tok/s via Google
Strengths
- Ranks #5 of 9 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures EgoSchema, not total model capability
Selection summary
Best AI Models for EgoSchema
Qwen2-VL-72B-Instruct currently leads EgoSchema with 77.9%. 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 EgoSchema?
What EgoSchema measures and how its scores work.
A diagnostic benchmark for very long-form video language understanding consisting of over 5000 human curated multiple choice questions based on 3-minute video clips from Ego4D, covering a broad range of natural human activities and behaviors
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- EgoSchema
- Modality
- video
- Primary category
- long context
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- egoschema|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about EgoSchema.
Which model scores highest on EgoSchema?
Qwen2-VL-72B-Instruct is currently ranked first with 77.9%.
What does EgoSchema measure?
A diagnostic benchmark for very long-form video language understanding consisting of over 5000 human curated multiple choice questions based on 3-minute video clips from Ego4D, covering a broad range of natural human activities and behaviors
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
9 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.