We benchmarked 6 AI models on 17 real Laravel tasks, with and without Laravel Boost. See which model wins, which fails, and by how much.

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Laravel's team ran a benchmark called Boost Benchmarks, testing six AI models (Claude haiku 4.5, sonnet 4.6, opus 4.6, Kimi k2.5, GPT-5.3 Codex, GPT-5.4) against 17 real Laravel tasks with and without Laravel Boost (an MCP server providing AI coding context). Results show GPT-5.3 Codex and GPT-5.4 tied at 16/17 evaluations passed with Boost enabled, while Kimi k2.5 offered the best speed-accuracy balance at 108s average and 94.6% accuracy. Laravel Boost improved every model tested, with the biggest gains on complex tasks like Livewire, Folio routing, and Inertia shared data. Key findings include LLM non-determinism, configuration errors as a common failure mode, and a small but acceptable token cost overhead from Boost ($0.05–$0.20 per evaluation).

Which AI Model Is Best for Laravel?