Together AI

Overview

Together AI provides a high-performance inference API for popular open-source models, enabling developers to integrate AI capabilities quickly without managing infrastructure. The service supports various models and offers scalable, low-latency responses. It is targeted at teams and individuals seeking efficient deployment of open-source AI in production.

Category: Coding & Dev ToolsPricing: PaidRating: ★ 4.5Best for: Developers and teams needing fast, reliable inference for open-source models in production applications.

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Key Features

  • Fast inference for open-source models
  • API access with low latency
  • Supports multiple model architectures
  • Scalable to production workloads

Pros

  • High-speed inference performance
  • Simplifies deployment of open-source models
  • Easy-to-use API for integration

Cons

  • Paid service with no free tier
  • Limited to supported open-source models
  • Requires some technical setup

Who Is This Tool Best For?

Developers and teams needing fast, reliable inference for open-source models in production applications.

Together AI: what readers ask first

What is Together AI?

An inference provider: you call open-source models through an API and it runs them on its own accelerated hardware, billed by the tokens you use.

Is Together AI right for you?

Developers putting open-source models into production who care about throughput and cost per token rather than about browsing a catalogue.

Is Together AI worth paying for?

No. It is usage-based, billed per token or per GPU-hour depending on the offering, so the cost follows real traffic rather than a seat.

Why not run it myself?

At low or spiky volume, self-hosting means paying for idle hardware. At sustained high volume it is usually cheaper, and you take on the serving work. The crossover is the decision.

Use cases

Serving an open model in production

An endpoint that scales with traffic removes the capacity planning that self-hosting needs.

Comparing cost per token

Running the same workload across providers is how the cheapest option for your traffic shape gets found.

Training on your own examples

Training a model on your examples and serving it from one place avoids a second vendor.

Pricing

Together AI is a paid offering, scored 4.5 in our listing. A usage-based service billed per token or per GPU-hour, with no seat licence, so cost tracks traffic rather than headcount. Details are on the vendor site. For an exact number, the Together site is the place to look.

Alternatives

  • Replicate — Aimed at trying and running many models, with per-second billing.
  • A first-party model API — Frontier models and no open weights.
  • Your own GPU capacity — Cheaper at sustained volume and you own the serving stack.

Side-by-side entries for all of them live in our AI tools directory.

Matters to settle before you start

Measure cost at your traffic shape

Spiky and steady traffic favour different setups. Benchmark the real pattern, not a single request.

Check what the licence allows

The model licence is separate from the provider’s terms, and some restrict commercial use.