Perplexity: Sonar Pro

Perplexity Sonar Pro is a text-and-image input model from Perplexity with a 200,000-token context window and up to 8,000 tokens of output. It does not support tool use, reasoning modes, or structured output, so it operates as a straightforward generation endpoint without agentic or workflow capabilities. Benchmark coverage is thin, with a blended score of 13.9 across just one benchmark, which makes direct performance comparisons unreliable at this stage. Pricing sits at $3.00 per million input tokens and $15.00 per million output tokens, which is a meaningful output cost relative to competitors. Users who need a large context window and can accept image inputs alongside text may find it functional, but the limited benchmark data and absence of tool support mean it is difficult to recommend confidently over better-documented alternatives without further independent evaluation.