Netlify pits 11 AI models head-to-head
Netlify tested 11 AI models on identical coffee-shop website prompts, revealing sharp differences in visual quality, consistency, and credit usage. The comparison follows Netlify’s OpenRouter integration, which expands Agent Runners beyond Claude, Codex, and Gemini.
The test makes model selection look less like a leaderboard exercise and more like a workload-and-budget decision. Netlify’s results show that expensive frontier models can produce delightful work, but cheaper models may deliver comparable outcomes for straightforward builds.
- –Claude Opus 5 produced the richest designs but averaged 519 credits, with one run consuming 1,055 credits.
- –GPT 5.6 Sol and Claude Sonnet 5 delivered stronger visual results than their cost-efficient peers, but at roughly 140 credits per run.
- –GPT 5.6 Terra, GLM 5.2, Kimi K2.7 Code, and DeepSeek V4 Flash dramatically reduced costs, though with simpler or less consistent designs.
- –The comparison is subjective and limited to one static-site scenario, so developers should test models against their own tasks rather than treat it as a universal ranking.
- –OpenRouter support makes switching models practical, while Netlify’s credit accounting exposes the real cost of agent-driven development.
DISCOVERED
1d ago
2026-08-13
PUBLISHED
1d ago
2026-08-13
RELEVANCE
AUTHOR
toddmorey