Clients rarely ask "which model is best?" anymore. They ask which stack they can build on for two years without regret. Different question, better question.
The dimensions that matter
- Task fit: long-context reasoning, tool use, multilingual support — benchmark on YOUR tasks, not leaderboards.
- Data boundaries: what may leave your infrastructure, and under which agreement.
- Cost shape: per-token pricing vs fixed GPU spend, and how your traffic actually looks.
- Operational maturity: evals, fallbacks and rate-limit behaviour under load.
Our default answer
We build provider-agnostic by default — OpenAI, Claude or self-host behind one interface — so the model is a config value, not an architecture.
What that looks like in practice
Treat the model id as configuration: swapping provider: openai for provider: claude should be a one-line change, not a migration project.
The stack that wins is the one you can swap out.
