We Tested 10 Untested LLMs on Agent Coding — The Results Are In

Short summary

Comprehensive benchmark of 10 LLM models on real agent coding tasks (JSON parsing, regex, SQL, debugging). Grok 4.20 achieved 75% accuracy in 14.5 seconds for fastest new entry; Claude Sonnet 4 remains most reliable at 85%. Ring 2.6 delivers 65% accuracy free; critically, GPT Pro variants substantially underperform base models on agent work.

• •Grok 4.20 fastest newcomer (75% in 14.5s); Claude Sonnet 4 most reliable (85%)
• •GPT-5.x Pro variants are slower and worse than base models for agent tasks
• •Ring 2.6 free tier beats many paid alternatives; full results at workswithagents.dev

Generated with AI, which can make mistakes.