Awan LLM

Awan LLM is an inference API platform for developers and power users who prefer predictable monthly spending to per-token billing. Its plans allow unlimited token generation up to each model’s context limit, while controlling usage through request-per-minute and model-specific daily request limits. The available catalog includes small and large Llama models, with published context sizes and estimated single-request and parallel throughput. This makes the service relevant to assistants, agents, roleplay, data processing, code completion, and application backends where token volume can otherwise make costs difficult to forecast. Awan LLM says it operates its own datacenters and GPUs, runs models in-house, and does not log prompts or generations; it does record request counts and rates for usage tracking and rate limiting. Adoption still requires matching a workload to the available models, daily request ceilings, and estimated speeds. Parallel requests are included from the Pro plan upward, while Enterprise adds custom capacity, an SLA, and options to run requested or fine-tuned models. The clearest fit is a sustained, high-token workload that can work within a fixed model catalog and plan limits rather than needing broad provider compatibility or usage-based scaling.