A side-by-side read on Google and Meta, anchored on each lab's flagship model, with API pricing, context windows, and their current Vikshy Score. For the full line-ups, see Google models and Meta models.
Complex analysis over very long documents. Rates rise above 200K tokens.
General assistant and multimodal workloads run through third-party hosts or self-hosting.
Flagship = each lab's highest-tier current model. Pricing and specs are the labs' listed figures; the Vikshy Score is a daily competitive reading, what is this?
Google: its flagship handles up to 2M tokens, versus 1M for Meta.
Google, at 82.2 versus 58.5, as of 2026-07-24. The Score moves daily.