The best Perplexity model for science is Sonar Pro, scoring 57.8% on GPQA Diamond — graduate-level physics, chemistry and biology. Sonar (47.1%) is next.
AI models ranked by GPQA Diamond — graduate-level physics, chemistry and biology questions written to be un-Googleable, so the score reflects reasoning from knowledge rather than retrieval. The best large language models for scientific research and hard-science work.
The best Perplexity model for science is Sonar Pro, scoring 57.8% on GPQA Diamond — graduate-level physics, chemistry and biology. Sonar (47.1%) is next.
Sonar (47.1%) is the closest alternative on this metric. See the full ranking above for the tradeoffs.
modelgrep tracks 5 Perplexity models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Sonar Reasoning Pro. 2 of them qualify for this ranking.