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Together AI

AI Infrastructure
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A cloud platform for fast, cost-efficient inference and fine-tuning of open-weight models at production scale.

Overview

Together AI runs open models — Llama, DeepSeek, Qwen, and many others — as a fast, usage-priced inference service, and also handles fine-tuning and dedicated endpoints. The value proposition is open-model economics without operating GPUs yourself: often materially cheaper than closed APIs at scale, with the option to fine-tune and deploy private variants. For enterprises it is a credible way to standardize on open models. The trade-off is the open-model trade-off generally — you own evaluation, safety, and the decision that an open model is good enough for the task.

Pros & Cons

Pros

  • Fast, cost-efficient open-model inference
  • Wide and current model selection
  • Fine-tuning and dedicated endpoints available
  • Often cheaper than closed APIs at scale

Cons

  • Open models shift evaluation and safety onto you
  • Quality varies by model and task
  • Not a managed governance platform on its own

Workflows that use Together AI

Get a new AI workflow each week — many feature Together AI and other tools in this category.

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Pricing

Usage-based per-token pricing. Dedicated endpoints and fine-tuning are priced separately.

Ideal For

Teams running open-weight models in productionCost-sensitive, high-volume inference workloadsEnterprises fine-tuning private model variants
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