Google vs Alibaba (Qwen): models, pricing & how they compare

A side-by-side read on Google and Alibaba (Qwen), 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 Alibaba (Qwen) 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.

Alibaba (Qwen)

68.5Strong contender

Vikshy Score →

Qwen3-Max Flagship

Context: 256K
Input /M: $0.86
Output /M: $3.44
Modality: Text
Access: API

The hardest reasoning and long context workloads on Model Studio.

How they compare

On flagship API input price, Alibaba (Qwen) is cheaper ($0.86 vs $2.00 per million tokens).
Google offers the larger flagship context window (2M vs 256K).
On the Vikshy Score, Google ranks higher today (82.2 vs 68.5).

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 Alibaba (Qwen), common questions

Is Google or Alibaba (Qwen) cheaper?

By flagship API input price, Alibaba (Qwen) is cheaper: $2.00 (Google) vs $0.86 (Alibaba (Qwen)) per million input tokens.

Which has a larger context window, Google or Alibaba (Qwen)?

Google: its flagship handles up to 2M tokens, versus 256K for Alibaba (Qwen).

Which ranks higher on the Vikshy Score, Google or Alibaba (Qwen)?

Google, at 82.2 versus 68.5, as of 2026-07-24. The Score moves daily.