Gemini 1.5 Pro (Feb 2024) · BBH · Average · % ↗
Google / MODEL EVIDENCE
Gemini 1.5 Pro (Feb 2024)
4 benchmarks · 5 observations · 4 sources · released 2024-02-15
Scores at a glance
4 benchmarks · large dot: Gemini 1.5 Pro (Feb 2024); small dots: closest models where reported
Cybench ↗7.5%
Gemini 1.5 Pro (Feb 2024) · Cybench · Unguided % Solved · % ↗
MMLU ↗82.7%
Gemini 1.5 Pro (Feb 2024) · MMLU · EM · % ↗
1 more reported result
81.9% · Gemini 1.5 Pro (Feb 2024) · MMLU · EM · % · Epoch AI · MMLU ↗
Video-MME ↗75%
Gemini 1.5 Pro (Feb 2024) · VideoMME · Overall (no subtitles) · % ↗
Closest models by score
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
Claude 3.5 Sonnet (Jun 2024) →Anthropic
3 of 4 shared benchmark comparisons
How similarity is measured
Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.
Sources
Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.
- Holistic Evaluation of Language Models (HELM) ↗
- Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models ↗
All 27 authors
Zhang, Andy K., Perry, Neil, Dulepet, Riya, Ji, Joey, Menders, Celeste, Lin, Justin W., Jones, Eliot, Hussein, Gashon, Liu, Samantha, Jasper, Donovan, Peetathawatchai, Pura, Glenn, Ari, Sivashankar, Vikram, Zamoshchin, Daniel, Glikbarg, Leo, Askaryar, Derek, Yang, Mike, Zhang, Teddy, Alluri, Rishi, Tran, Nathan, Sangpisit, Rinnara, Yiorkadjis, Polycarpos, Osele, Kenny, Raghupathi, Gautham, Boneh, Dan, Ho, Daniel E., Liang, Percy
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context ↗
- Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis ↗
All 21 authors
Fu, Chaoyou, Dai, Yuhan, Luo, Yongdong, Li, Lei, Ren, Shuhuai, Zhang, Renrui, Wang, Zihan, Zhou, Chenyu, Shen, Yunhang, Zhang, Mengdan, Chen, Peixian, Li, Yanwei, Lin, Shaohui, Zhao, Sirui, Li, Ke, Xu, Tong, Zheng, Xiawu, Chen, Enhong, Shan, Caifeng, He, Ran, Sun, Xing
Names used in source tables
Gemini 1.5 Pro (Feb 2024)