Runtime vs Together AI

Choose Runtime if…

Best for teams deploying production agents who don't want to build and operate execution infrastructure themselves, and its edge is manages execution containers, tool connectivity, and orchestration state so you don't build that layer from scratch. Solid production-grade infrastructure for developers, usage-based costs mean it's not for casual experimentation. Lean toward Together AI instead if a catalog of 200+ open models across major families, all accessible through one OpenAI-compatible interface matters more for your use case.

Choose Together AI if…

Best for developers who want to run, fine-tune, or deploy open-source models via API without managing GPU infrastructure, and its edge is a catalog of 200+ open models across major families, all accessible through one OpenAI-compatible interface. Competitive pricing and real production scale, usage costs are worth modeling before committing to heavy workloads. Lean toward Runtime instead if manages execution containers, tool connectivity, and orchestration state so you don't build that layer from scratch matters more for your use case.