DigitalOceanvsGoogle Cloud

How 10 AI models weigh DigitalOcean against Google Cloud on the 1 buying question where both came up.

DigitalOcean
95%of answers named it
Google Cloud
93%of answers named it
Placed higher
3–37times DigitalOcean vs Google Cloud, over 40 model rankings that listed either
Models leaning
0–10toward DigitalOcean vs Google Cloud

Which models prefer which

Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 1 shared question, every wording

ModelDigitalOceanGoogle CloudPlaced higherLeans
Claude Haiku 5.5100%100%0–4Google Cloud
GPT-6 Luna100%100%0–4Google Cloud
Gemini 4 Argon100%100%1–3Google Cloud
Qwen 3.8 Flash67%67%0–4Google Cloud
DeepSeek V4 Pro92%75%1–3Google Cloud
GLM-5.3100%100%0–4Google Cloud
Kimi K3100%100%0–4Google Cloud
MiniMax M3100%100%0–4Google Cloud
Mistral Large 4100%100%0–4Google Cloud
Nemotron 3 Ultra92%92%1–3Google Cloud

What the models say about DigitalOcean

One reason per model, from the shared questions

  • Claude Haiku 5.5Simple pricing and fast setup, ideal for small teams shipping quickly.
  • GPT-6 LunaSimple pricing and approachable infrastructure make it especially practical for lean teams.
  • Gemini 4 ArgonSimple, developer-friendly cloud infrastructure with transparent, low-cost pricing ideal for bootstrapped startups.
  • Qwen 3.8 FlashTransparent pricing, great docs, very startup-friendly.
  • DeepSeek V4 ProSimple, predictable pricing with excellent developer docs; ideal for lean teams.
  • GLM-5.3Predictable low pricing, droplets and managed databases that startups understand.
  • Kimi K3Simple pricing, clean UX, and predictable infrastructure for lean engineering teams.
  • MiniMax M3Simple, affordable, and developer-friendly hosting for small teams.
  • Mistral Large 4Predictable pricing and simplicity perfect for cost-conscious startups.
  • Nemotron 3 UltraSimple pricing, developer-friendly, fast setup

What the models say about Google Cloud

One reason per model, from the shared questions

  • Claude Haiku 5.5Strong managed Kubernetes, clean developer experience, and generous startup program.
  • GPT-6 LunaExcellent data, AI, and Kubernetes services, with generous startup programs and strong developer tooling.
  • Gemini 4 ArgonSuperior Kubernetes support, top-tier AI tooling, and up to $200k in startup credits.
  • Qwen 3.8 FlashStrong AI/data tooling with generous startup credits.
  • DeepSeek V4 ProStrong Kubernetes, AI/ML tools, and generous startup program with clean console UX.
  • GLM-5.3Clean developer experience, strong data/AI tooling, generous startup credits.
  • Kimi K3Excellent developer experience, strong data tools, and competitive startup pricing.
  • MiniMax M3Excellent pricing, strong data/AI tools, and startup program.
  • Mistral Large 4Best-in-class Kubernetes, data analytics, and generous sustained-use discounts.
  • Nemotron 3 UltraStrong AI/ML, Kubernetes, data analytics

Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.

Question by question

Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first

QuestionDigitalOceanGoogle Cloud
Best cloud platforms for startups95% #393% #5