Comparing LLM Inference APIs: Cost, Performance, and More (opens in new tab)

Choosing an LLM inference API is no longer just about model quality. For production workloads, the decision hinges on how pricing scales with usage, whether latency remains consistent under load, and how easily the provider integrates into existing stacks. Most providers bill by the token, which means costs can spike unpredictably as prompts grow or agents iterate. A smaller set of platforms, including Oxlo.ai, use a flat per-request model that removes this variability. This article breaks do...