Claude, OpenAI, or on-prem: choosing the right model
There is no single best model — only the best fit for a given task, budget, and data-privacy constraint. Model freedom is the point, not a feature.
Teams often ask which model is best, as if there is one answer. The better question is: best for what? A nuanced summarization task, a cheap high-volume classifier, and a workload that legally cannot leave your building are three different jobs.
Match the model to the task
For reasoning-heavy or Thai-language work we often reach for Claude; for some cheap, high-throughput steps a smaller model wins on cost; for sensitive data an on-prem open model keeps everything inside your VPC.
Freedom to switch
Locking a whole product to one vendor is a risk. We design so the model behind any step can be swapped — Claude, Google, OpenAI, or on-prem — without rewriting the application around it.
The goal is simple: pick the model that fits the job today, and keep the freedom to change your mind tomorrow.
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