multimodal benchmark
PerceptionTest is a multimodal video benchmark for evaluating perception and reasoning across video, audio, and text.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score73.20% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score70.50% | Percentile0.00% | Participants2 | 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 PerceptionTest measures and how its scores work.
PerceptionTest contains 11.6k real-world videos averaging 23 seconds, filmed by participants worldwide and annotated with six types of labels.
It measures skills in Memory, Abstraction, Physics, and Semantics, along with descriptive, explanatory, predictive, and counterfactual reasoning, using Score as a ratio metric.
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 PerceptionTest.
Qwen2.5 VL 72B Instruct is currently ranked first with 73.20%.
The current leaders are Qwen2.5 VL 72B Instruct (73.20%) and Qwen2.5 VL 7B Instruct (70.50%).
Qwen2.5 VL 7B Instruct has the lowest matched official input price at $0.35 input / $1.1 output per 1M tokens.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures skills in Memory, Abstraction, Physics, and Semantics, along with descriptive, explanatory, predictive, and counterfactual reasoning, using Score as a ratio metric.
Yes. Higher values rank better for this benchmark.
2 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis perceptiontest 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
Qwen2.5 VL 72B Instruct currently leads PerceptionTest with 73.20%. 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.