Together.ai cost and latency push teams to compare alternatives

A project using Together.ai for model inference is finding the price harder to justify as usage grows. The bigger the project gets, the more the running cost becomes a concern.

Latency has also been uneven, so are not always fast or predictable. The needed re should offer a decent choice of models while keeping cost and speed easier to manage.

Key points

  • Together. is becoming harder to justify as the project scales.
  • Latency has been somewhat inconsistent.
  • The desired alternative needs a decent .
  • For AI agents, and predictable speed are practical operating concerns.
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