Next.js 16 vs Leptos

Real-world performance comparison based on identical SaaS dashboard implementations.

Next.js 16

Next.js 16

Vercel

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Next.js deployed on its native platform—the way it was designed to run. Vercel's infrastructure is purpose-built for Next.js, providing automatic edge caching, instant rollbacks, and preview deployments for every git push. ISR (Incremental Static Regeneration) works seamlessly on Vercel with on-demand revalidation APIs and automatic cache invalidation across their global edge network. Edge Functions run your middleware in 30+ regions with sub-millisecond cold starts. This deployment demonstrates Next.js at its most optimized, with Vercel handling image optimization, analytics, and Web Vitals monitoring automatically.

Leptos

Leptos

VPS (Rust)

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A full-stack Rust framework using fine-grained reactivity. Leptos compiles to WebAssembly for near-native browser performance, with server functions that run seamlessly on the backend. The framework's signal-based reactivity (similar to SolidJS) enables surgical DOM updates without a virtual DOM. Server functions provide RPC-like calls with full type safety between client and server. Leptos can render on the server and hydrate on the client. For Rust developers, Leptos offers a compelling way to build web applications with the safety and performance guarantees Rust is known for. The learning curve is steep but the results are impressive.

Performance Metrics

Lower is better for all metrics. Green indicates the faster framework.

Metric Next.js 16 Leptos Winner
TTFB (p50) 44.7ms 44.85ms ◀
TTFB (p95) 44.86ms 50.07ms ◀
LCP (p50) 62ms 72ms ◀
LCP (p95) 70.2ms 78.2ms ◀
CLS 0 0 =
TBT 0 ms 0 ms =
LCP → TTFB N/A N/A -
LCP → Load Delay N/A N/A -
LCP → Load Duration N/A N/A -
LCP → Render Delay N/A N/A -
Performance Score 96 98 ▶
SEO Score 100 83 ◀
Accessibility Score 88 86 ◀
Best Practices Score 100 100 =

LLM Understanding (Claude Opus 4.5)

How efficiently Claude Opus 4.5 understands the codebase. Based on exploration + validation tests.

Metric Next.js 16 Leptos Winner
Exploration Time 3883ms 3206ms ▶
Exploration Tokens 3963 2884 ▶
Files Examined 11 5 ▶
Validation Accuracy 100% 72% ◀
Time Per File 353ms 641ms ◀
Tokens Per File 3245 4138 ◀
Efficiency Score 43.28 29.54 ◀

LLM Understanding (Claude Haiku 4.5)

How efficiently Claude Haiku 4.5 understands the codebase. Based on exploration + validation tests.

Metric Next.js 16 Leptos Winner
Exploration Time 3029ms 2152ms ▶
Exploration Tokens 3991 2880 ▶
Files Examined 11 5 ▶
Validation Accuracy 99% 61% ◀
Time Per File 275ms 430ms ◀
Tokens Per File 3225 4098 ◀
Efficiency Score 55.84 34.01 ◀

Build Metrics

Metric Next.js 16 Leptos Winner
Bundle Size (JS) 613.3KB 1050.2KB ◀
Bundle Size (CSS) 23.3KB 0KB ▶
Build Time 0s 0s =
Dependencies 18 15 ▶

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