A side-by-side read on DeepSeek 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 DeepSeek models and Meta models.
Hard reasoning, long documents and agentic tasks.
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?
Both flagship models list a 1M context window.
DeepSeek, at 70.9 versus 58.5, as of 2026-07-24. The Score moves daily.