Our take
Together AI runs one of the most heavily used open-source model APIs on the market. Founded in 2022, it has grown rapidly on the back of the open-source model thesis: that companies will increasingly prefer open-weight models like Llama and Mistral over closed ones from OpenAI or Anthropic, particularly at scale.
The platform offers a tiered deployment model. The shared API is the entry point — pay-per-token, OpenAI-compatible, no commitment. Dedicated endpoints add reserved GPU capacity with predictable performance. Single-tenant and VPC deployments are available for customers with compliance requirements or workload isolation needs.
Together's strength is volume economics. For teams running 10M+ tokens per day, the per-token costs on dedicated capacity often beat both shared-API providers (OpenAI, Anthropic) and self-hosted alternatives once GPU and engineering costs are factored in.
Sweet spot
High-volume token consumption on open-source models where you need API simplicity but predictable cost economics. Best fit for AI product startups scaling past the hobby stage where Bedrock or OpenAI bills become uncomfortable.
Where it falls short
Less specialised tooling than Baseten for production observability. Single-tenant available but not the same maturity for enterprise procurement workflows that Baseten offers.