
Together AI
What is Together AI?
⚡ Quick Summary / TL;DRTogether 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
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
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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
Serverless Inference
Pay per model usage across text, image, audio, and video APIs.
- Per-token pricing
- Media model pricing
- Embeddings and reranking
- Pay as you go
Dedicated Inference
Reserve custom hardware for predictable serving performance.
- GPU hourly rates
- Guaranteed performance
- Autoscaling options
- Custom models
GPU / Fine-Tuning
Train, tune, and run models with GPU and fine-tuning infrastructure.
- 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.
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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