OpenAI vs Google: models, pricing & how they compare

A side-by-side read on OpenAI and Google, anchored on each lab's flagship model, with API pricing, context windows, and their current Vikshy Score. For the full line-ups, see OpenAI models and Google models.

OpenAI

85.3Frontier leader

Vikshy Score →

GPT-5.6 Sol Frontier

Context: 1M
Input /M: $5.00
Output /M: $30.00
Modality: Multimodal
Access: API + ChatGPT

Teams tackling the hardest agentic and coding work.

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.

How they compare

On flagship API input price, Google is cheaper ($2.00 vs $5.00 per million tokens).
Google offers the larger flagship context window (2M vs 1M).
On the Vikshy Score, OpenAI ranks higher today (85.3 vs 82.2).

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?

OpenAI vs Google, common questions

Is OpenAI or Google cheaper?

By flagship API input price, Google is cheaper: $5.00 (OpenAI) vs $2.00 (Google) per million input tokens.

Which has a larger context window, OpenAI or Google?

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

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

OpenAI, at 85.3 versus 82.2, as of 2026-07-24. The Score moves daily.