Dev Tools · 2h ago
Developer builds small benchmark to pick best LLM for coding
A developer tested three LLMs on 14 coding problems across Python, C#, and Bash, scoring pass@k, cost, and latency. All models achieved 100% pass@3 on problems they answered, but one was content-filtered on four problems. The key differentiators were cost (1.3x spread) and latency (6.6x spread), with one model performing poorly on Bash.
Meridian48 take
The benchmark's value is in showing that accuracy is no longer the deciding factor; speed and cost per language matter more, but the small sample size limits generalizability.
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Which LLM should I actually code with? I built a small benchmark to find out →
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