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Do you mean that Gemini 3 Pro is "vanilla" like GPT 5.1 (non-Codex)?

Yes, two things: 1. GPT-5.1 Codex is a fine tune, not the "vanilla" 5.1 2. More importantly, GPT 5.1 Codex achieves its performance when used with a specific tool (Codex CLI) that is optimized for GPT 5.1 Codex. But when labs evaluate the models, they have to use a standard tool to make the comparisons apples-to-apples.

Will be interesting to see what Google releases that's coding-specific to follow Gemini 3.

> But when labs evaluate the models, they have to use a standard tool to make the comparisons apples-to-apples.

That'd be a bad idea, models are often trained for specific tools (like GPT Codex is trained for Codex, and Sonnet has been trained with Claude Code in mind), and also vice-versa that the tools are built with a specific model in mind, as they all work differently.

Forcing all the models to use the same tool for execution sounds like a surefire way of getting results that doesn't represent real usage, but instead arbitrarily measure how well a model works with the "standard harness", which if people start caring about, will start to become gamed instead.

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