Tensormesh does not charge for cached tokens. The more your workload reuses context, the more your cost per request can drop.
Build faster agents, copilots, and RAG apps with Serverless Inference or Reserved GPUs. Tensormesh caching reuses repeated context across requests, helping your applications respond faster while reducing inference costs.
Run models through a simple API with no servers to manage. Pay for input and output tokens, with cached tokens at $0.
Reserve dedicated GPU capacity for production AI workloads that need predictable performance, scale, and control. Tensormesh caching is included to help repeated context run faster and cost less.
Estimate your monthly cost from GPU usage, token volume, and cached context.
Estimate token-based API costs with cached tokens priced at $0.
Compare your current inference spend against Tensormesh pricing and cached-token savings.