What languages topped the Claude Code benchmark?

Ruby, Python, JavaScript. Fastest, cheapest, zero fails.

Why were static languages slower in this test?

Type reasoning chews tokens. Higher variance, more fails.

For prototypes? Lean dynamic. Scale later, add types manually.

Ruby just lapped the field. In Claude's code benchmark, dynamic languages prove faster, cheaper—static ones stumble hard.

Open Source Beat Apr 07, 2026 3 min read

Dynamic languages like Ruby, Python, JS are 1.4-2.6x faster/cheaper in Claude Code gen. 𝕏
Type checking adds massive overhead—up to 3x slower. 𝕏
Benchmark isolates language effects; full data on GitHub. 𝕏

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#AI code generation #Claude Code benchmark #Ruby Python JS #Ruby vs Rust #ai-coding #dynamic languages #programming languages #static typing overhead

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Originally reported by InfoQ