Model agnostic by design: why we don't pick sides.
From day one, Coconut has been built to work with whatever AI models your team trusts. Here's why we believe model flexibility isn't just a feature — it's a principle.
The AI model landscape is moving fast. Capabilities that felt frontier six months ago are table stakes today. Betting your entire developer workflow on a single model provider is a risky position to be in — not because any one provider is untrustworthy, but because the pace of change means the best model for a given task will likely be different in six months than it is today.
Coconut routes tasks to models based on capability, cost, and context — not vendor preference. If you want to use Claude for reasoning-heavy code reviews, GPT-5 for documentation generation, and a fine-tuned open source model for security audits, Coconut supports that configuration out of the box.
We also believe your model choices should stay yours. Coconut doesn't lock your prompts, your task history, or your outputs to any particular provider. Everything is exportable, auditable, and portable.
As new models emerge — and they will — Coconut will add support for them. Our goal is to be the most reliable, flexible layer between your team and the AI capabilities they need to move fast.
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