Google vs DeepSeek: models, pricing & how they compare

A side-by-side read on Google and DeepSeek, 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 DeepSeek models.

Google

82.2Frontier leader

Vikshy Score →

Gemini 3.1 Pro Frontier

Context: 2M
Input /M: $2.00
Output /M: $12.00
Modality: Multimodal
Access: API + Gemini app

Complex analysis over very long documents. Rates rise above 200K tokens.

DeepSeek

70.9Strong contender

Vikshy Score →

DeepSeek-V4-Pro Flagship

Context: 1M
Input /M: $1.74
Output /M: $3.48
Modality: Text
Access: API + open weights

Hard reasoning, long documents and agentic tasks.

How they compare

On flagship API input price, DeepSeek is cheaper ($1.74 vs $2.00 per million tokens).
Google offers the larger flagship context window (2M vs 1M).
On the Vikshy Score, Google ranks higher today (82.2 vs 70.9).

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 vs DeepSeek, common questions

Is Google or DeepSeek cheaper?

By flagship API input price, DeepSeek is cheaper: $2.00 (Google) vs $1.74 (DeepSeek) per million input tokens.

Which has a larger context window, Google or DeepSeek?

Google: its flagship handles up to 2M tokens, versus 1M for DeepSeek.

Which ranks higher on the Vikshy Score, Google or DeepSeek?

Google, at 82.2 versus 70.9, as of 2026-07-24. The Score moves daily.