Stop framing this as a money question
BYO-LLM-keys vs managed is usually framed as "do I lose AI revenue?" The better frame: which customer segment are you serving, and what unlocks the procurement conversation?
When BYOK wins
- Enterprise procurement with existing AI vendor relationships.
- Regulated industries where the model contract must be direct.
- High-volume customers who'd otherwise rebuild on raw APIs.
When managed wins
- SMB and self-serve plans — one bill, no setup friction.
- Free trials where you eat the cost to convert.
- Products where AI is incidental to the workflow.
Most teams ship both
- Managed by default; BYOK on Enterprise plans.
- Same product surface — only the credential source changes.
- Per-user spend caps apply to managed users; BYOK users are governed by their own provider quotas.
One thing this playbook is not about
Command+K itself does not support BYOK: every call the widget makes runs through our managed AI Gateway on prepaid credits, which is what keeps per-model cost reporting exact. The advice above is about how you price your own product, not about how you pay us.
The procurement test
If a Fortune 500 buyer would walk away because they can't use their existing OpenAI contract, ship BYOK. If they wouldn't notice, don't bother.
FAQ
- What does BYO-LLM-keys mean for end users?
- Letting customers plug in their own OpenAI, Anthropic, or Google API keys instead of routing through your provider account. Their usage hits their bill, not yours; your margin comes from the product around the model, not the model spread.
- Doesn't BYOK destroy AI feature revenue?
- Only if your AI feature was a margin play. If it's a product play — judgment, UX, tools, audit — BYOK is a procurement unlock. Enterprise buyers want it; charging them for a key markup loses the deal.
- When should I run managed instead?
- For SMB and self-serve plans where billing simplicity beats procurement. Most products run both: managed for SMB, BYOK for enterprise, same product surface.
- How do I price BYOK plans?
- Higher seat fee, no metered AI line. You're selling the workflow, not the tokens. Enterprise buyers prefer this — predictable cost, no surprise overage.