DigitalOceanvsHeroku

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

DigitalOcean: 95%of answers named it
Heroku: 70%of answers named it
Placed higher: 33–7times DigitalOcean vs Heroku, over 40 model rankings that listed either
Models leaning: 7–0toward DigitalOcean vs Heroku; 3 even

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

Model	DigitalOcean	Heroku	Placed higher	Leans
Claude Haiku 5.5	100%	100%	2–2	Even
GPT-6 Luna	100%	75%	4–0	DigitalOcean
Gemini 4 Argon	100%	50%	4–0	DigitalOcean
Qwen 3.8 Flash	67%	100%	2–2	Even
DeepSeek V4 Pro	92%	25%	4–0	DigitalOcean
GLM-5.3	100%	92%	2–2	Even
Kimi K3	100%	58%	4–0	DigitalOcean
MiniMax M3	100%	75%	4–0	DigitalOcean
Mistral Large 4	100%	92%	3–1	DigitalOcean
Nemotron 3 Ultra	92%	33%	4–0	DigitalOcean

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 Heroku

One reason per model, from the shared questions

Claude Haiku 5.5Fastest path from git push to production with minimal ops overhead.
GPT-6 LunaStill among the easiest platforms for rapid prototyping, though its pricing and flexibility trail newer options.
Gemini 4 ArgonPioneered effortless app deployment, though higher costs and slower innovation limit its appeal today.
Qwen 3.8 FlashClassic DX still unmatched for quick prototypes.
DeepSeek V4 ProEffortless app deployment, managed infrastructure, ideal for MVPs without DevOps overhead.
GLM-5.3Simplest deploy workflow ever; still great for quick MVPs despite pricing changes.
Kimi K3Still one of the easiest platforms for launching quickly despite weaker modern momentum.
MiniMax M3Quick setup and ideal for MVPs and early-stage prototypes.
Mistral Large 4Pioneering PaaS simplicity, though pricier now for scaling startups.

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

Question	DigitalOcean	Heroku
Best cloud platforms for startups	95% #3	70% #9