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Tool·Infrastructure·Added 1 month ago

Together AI

Also known as: Together, TogetherAI, Together.ai

A serverless inference API and GPU cloud for open-weight models. Builders use it for fast access to a wide catalog of models — Llama, DeepSeek, Qwen, and more — with an OpenAI-compatible API, plus fine-tuning and training options on the same stack.

Together AI sits in the space between raw GPU clouds and consumer AI APIs. Like Groq, it gives you an OpenAI-compatible API endpoint for open-weight models so you can swap it in with minimal code changes. Unlike Groq, it supports a much wider catalog (200+ models), offers fine-tuning and training jobs alongside inference, and provides dedicated endpoints for teams that need guaranteed capacity rather than shared serverless pools.

The OpenAI-compatible API is a key practical detail: most AI SDKs (LangChain, LlamaIndex, the OpenAI Python client itself) let you point at a custom base URL, so switching from OpenAI to Together AI for cost or model-choice reasons is often a one-line change. Together AI benchmarks competitively on price-per-token for open-weight models relative to OpenAI equivalent quality tiers.

For builders building on open-weight models at scale, Together AI is frequently mentioned alongside Fireworks AI, Replicate, and Baseten as the mature serverless inference providers. The ability to do fine-tuning and then immediately serve the fine-tuned model through the same API is a workflow advantage for teams iterating on specialized models.

This definition is AI-generated and refreshed weekly. It may contain inaccuracies. Use your own judgment, especially for production decisions.
Related terms
Model servingGPU cloudOpen weightsInference costFine-tuning