MiniMax M2 vs Claude Sonnet 4.5 vs Codex: Coding Model Test in Claude Code

In this AI tools tutorial, we test MiniMax M2, Claude Sonnet 4.5, and Codex across practical coding tasks inside a Claude Code-style workflow, including algorithm visualization, Markdown editing, calendar conversion, animation, physics simulation, color tools, pinyin conversion, timers, Josephus problem solving, and SVG generation.
We also show a simple way to manage model endpoints using a switcher-style setup: add a name, API key, and request URL, then switch models more easily for development experiments.
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Disclosure: The English voiceover for this video is AI-generated. This video is an independent tutorial and comparison, and it does not claim official affiliation with MiniMax, Anthropic, OpenAI, Claude, Codex, OpenRouter, or any related brand.
Results shown are based on the tasks demonstrated in this tutorial and may vary depending on prompts, settings, model versions, API providers, and runtime environment.

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