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title: Which AI Model Is Best for Laravel? | daily.dev
description: Laravel&#x27;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)...
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# Which AI Model Is Best for Laravel?

**[Laravel](https://daily.dev/sources/laravel)** · 12 min read · 14 upvotes · 0 comments

## Summary

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).

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://laravel.com/blog/which-ai-model-is-best-for-laravel>

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Tags: [#php](https://daily.dev/tags/php), [#laravel](https://daily.dev/tags/laravel), [#mcp](https://daily.dev/tags/mcp)

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