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Together AI

Together AI

AI infrastructure platform for model APIs, inference, fine-tuning, and GPUs.

Together AI screenshot

What is Together AI?

⚡ Quick Summary / TL;DR

Together AI is an AI-driven Developer Tools platform designed to i infrastructure platform for model apis, inference, fine-tuning, and gpus.. It is specifically optimized for Developer, Founder seeking to streamline their workflow and enhance productivity.

Overview of Together AI

Together AI is a developer platform for running open-source and commercial AI models through APIs, serverless inference, dedicated endpoints, GPU clusters, fine-tuning, code execution, storage, and production infrastructure. It gives teams access to many model families without operating the full serving stack themselves. The product is useful for developers, AI startups, and engineering teams building applications on open models. Together AI supports text, image, audio, video, embeddings, reranking, dedicated inference, provisioned throughput, fine-tuning, GPU clusters, code interpreter sessions, and file-system storage. Together AI pricing is usage-based rather than a simple subscription. Costs vary by model, input tokens, output tokens, media generation, GPU hour, storage, code sessions, fine-tuning, and reserved capacity. That makes it powerful for production builders, but cost monitoring is essential. For FutureStack, Together AI belongs in Developer Tools because it is infrastructure for AI products. It is best for teams that need model APIs, open-model inference, dedicated endpoints, fine-tuning, GPU capacity, and scalable AI deployment options.

Best for

Model APIs, open-model inference, fine-tuning, GPUs, and AI infrastructure.

Key Features of Together AI

  • Serverless inference across many text and media models
  • Dedicated endpoints, provisioned throughput, and GPU clusters
  • Fine-tuning, embeddings, reranking, code sessions, and storage
  • Usage-based pricing across tokens, GPUs, media, and infrastructure

Pricing summary

Together AI uses usage-based pricing. Serverless models are priced per token or media output, GPU clusters are priced per GPU hour, and fine-tuning, storage, code sessions, and dedicated capacity have separate rates.

Pricing & Plans for Together AI

Popular

Serverless Inference

Pay per model usage across text, image, audio, and video APIs.

Custom
  • Per-token pricing
  • Media model pricing
  • Embeddings and reranking
  • Pay as you go

Dedicated Inference

Reserve custom hardware for predictable serving performance.

Custom
  • GPU hourly rates
  • Guaranteed performance
  • Autoscaling options
  • Custom models

GPU / Fine-Tuning

Train, tune, and run models with GPU and fine-tuning infrastructure.

Custom
  • GPU clusters
  • Fine-tuning
  • Code sessions
  • Storage pricing

Other pricing notes

  • Pricing checked on 2026-07-23 from Together AI official pricing.
  • Rates vary by model, modality, GPU, storage, and deployment type.
  • Teams should estimate usage before choosing between serverless, dedicated, and reserved capacity.
Pricing last checked: July 2026Official pricing page

Pros & Cons of Together AI

Pros

  • Strong fit for production AI infrastructure teams
  • Broad model coverage across text, image, audio, and video
  • Supports both serverless and dedicated deployment paths
  • Fine-tuning and GPU options make it flexible
  • Transparent per-unit pricing for many services

Cons

  • Usage-based pricing can become complex quickly
  • Costs vary heavily by model and workload pattern
  • Not a beginner-friendly no-code AI app
  • Dedicated capacity requires capacity planning
  • Teams need monitoring for tokens, GPUs, and storage

Frequently Asked Questions about Together AI

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