The best Perplexity model for RAG is Sonar Reasoning Pro — 17.8 intelligence with 128K tokens of context for retrieved passages. Sonar Pro (9.3) is next.
The best AI models for retrieval-augmented generation, ranked by intelligence among models with at least 128K tokens of context — enough to hold retrieved passages plus conversation. RAG pipelines run at volume, so weigh the price and speed columns as hard as the score.
The best Perplexity model for RAG is Sonar Reasoning Pro — 17.8 intelligence with 128K tokens of context for retrieved passages. Sonar Pro (9.3) is next.
Sonar Pro (9.3) 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.