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Ruby LLM Benchmarks — Program Fixer

Code · 2025-08-01

Ruby LLM Benchmarks Program Fixer evaluates one-shot repairs of four broken Ruby programs: a calendar, parking garage, school library, and vending machine. Each task score is 90% test-suite success plus 10% RuboCop quality; the headline score is the equal-weight mean of the four task scores, with a missing task contributing zero.

Top models (higher is better)

ModelScore
Claude Opus 579.8
GPT-6 Sol79.0
GLM-5.3 Flash78.7
GPT-5.6 Terra Pro78.1
GPT-5.577.6
Claude Opus 5.577.5
Claude Fable 577.2
Opus 4.777.1
Opus 4.676.4
Sonnet 4.676.3
Claude Fable 5.176.0
GLM-575.6
GPT-5.6 Sol Pro75.3
Opus 4.875.2
GPT-5.6 Sol75.2
GPT-6 Astra75.1
GPT-6.1 Sol75.0
GPT-5.474.8
GLM-5.274.2
Kimi K2.674.2
Muse Spark 1.374.1
Qwen3.8-Max74.0
GPT-5.6 Terra74.0
Claude Sonnet 5.573.8
GPT-5.6 Luna73.3
GPT-5.6 Luna Pro73.1
Sonnet 472.6
DeepSeek-V4-Pro72.5
Sonnet 4.572.3
GPT-5.2 Instant (source unspecified)72.1
GLM-5.372.1
Opus 4.571.6
Opus 4.171.3
Gemma 4 26B A4B IT71.0
Gemma 4 31B IT70.9
Opus 470.8
GPT-4.170.8
Sonnet 570.3
GPT-5.3 Instant (source unspecified)70.2
Grok 4.570.0
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