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Together AI

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Serverless inference and GPU clusters for open models, from one token to a full training run.

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Together AI’s homepage, captured by ToolsPantry

Pricing

Verified 14 Jul 2026· source
Pay-as-you-go (serverless inference)
usage-based/per 1M tokens
Per-token pricing varies by model; observed input/output rates roughly $0.06-$4.50 per 1M tokens, with discounted cached-input rates (e.g. $0.13-$0.35 cached). Slim capture lists many unlabeled model rates, so exact model-to-price mapping isn't reliable.
Dedicated endpoints / GPU
usage-based/per hour
Dedicated hardware deployments with guaranteed performance; hourly GPU rates and PTU pricing shown but unlabeled.
Custom / Enterprise
Contact sales
Custom models and custom hardware deployments; VM sandbox deployments (e.g. $0.0446, $0.0149, $0.03 per minute observed).
Where the free tier stops: No free tier — usage-based token/compute pricing; dedicated and custom deployments are contact-sales. (Capture is a large table of unlabeled per-model rates.)
Prices as published by the vendor on the date shown. Many vendors price by region, so what you see on their site may differ. Always confirm on the source page before buying.
CompanyTogether AIFounded2022
Information is reviewed manually, but pricing and features may change. Always verify details on the official website before purchasing.

Overview

Together AI covers the full spectrum of open-model compute in one account. At the light end, serverless inference gives per-token access to a large catalogue — chat, vision, image, audio, video, embeddings, reranking — with an OpenAI-compatible interface, so switching from a closed provider is close to a config change. In the middle sit dedicated single-tenant endpoints with guaranteed performance for custom models. At the heavy end are on-demand and reserved GPU clusters for actual training, priced by GPU-hour, alongside fine-tuning that spans supervised and preference-optimisation methods. That vertical range is the reason to pick it: you can prototype against a serverless endpoint and later move the same model onto dedicated capacity without changing vendor. What you do not get is a free tier of any substance, or a frontier closed model — the catalogue is open weights, which for many tasks is now fine and for the hardest reasoning work still is not. You also own the evaluation: nobody will tell you which open model is right for your job.

Features

Serverless per-token inference across chat, vision, image, audio, video and embedding models
OpenAI-compatible API for near drop-in migration
Dedicated single-tenant inference endpoints with guaranteed performance
On-demand and reserved GPU clusters priced by GPU-hour
Fine-tuning including supervised and preference-optimisation methods
Compute add-ons such as code sandboxes and managed storage

Pros & cons

Pros

  • One vendor from prototype to dedicated capacity to full training clusters
  • OpenAI-compatible interface makes migration off a closed provider cheap
  • Serverless open-model inference is far cheaper per token than frontier closed models
  • Genuinely broad modality coverage, not just text

Cons

  • No meaningful free tier — you are paying from the first serious experiment
  • Open-weight catalogue only; the hardest reasoning tasks still favour frontier closed models
  • Serverless throughput can vary under load in a way dedicated endpoints do not
  • Choosing and evaluating the right open model is entirely your problem

Who Together AI is for

Together AI is built for people working with api tools. Because it is paid-only, it suits teams ready to commit to a tool rather than experiment for free. Users most often highlight one vendor from prototype to dedicated capacity to full training clusters.

How Together AI compares in AI API Tools

Within api tools, the closest alternatives to Together AI are Replicate, OpenAI API, Anthropic API — it is worth comparing them side by side on price and the specific features you need before deciding.

Together AI pricing

Together AI is a paid tool — there is no permanent free plan, though a free trial or demo may be available. See the full Together AI pricing breakdown →

Together AI FAQ

Is Together AI worth it?

Together AI is most often praised for one vendor from prototype to dedicated capacity to full training clusters. The main trade-off is that no meaningful free tier — you are paying from the first serious experiment. For most api tools needs it is a credible choice — trial it against one or two alternatives before you commit. ToolsPantry does not yet carry user reviews for this tool.

Is Together AI free?

Together AI is a paid tool — there is no permanent free plan, though a free trial or demo may be available.

What are the downsides of Together AI?

The most commonly noted drawbacks are: No meaningful free tier — you are paying from the first serious experiment; Open-weight catalogue only; the hardest reasoning tasks still favour frontier closed models; Serverless throughput can vary under load in a way dedicated endpoints do not; Choosing and evaluating the right open model is entirely your problem. None are dealbreakers for everyone, but weigh them against your specific workflow.

What are the best alternatives to Together AI?

Strong alternatives in api tools include Replicate, OpenAI API, Anthropic API, Ollama. See the full ranked list on the Together AI alternatives page.

The verdict

Together AI is a api tools option, best known for one vendor from prototype to dedicated capacity to full training clusters. The main trade-off is that no meaningful free tier — you are paying from the first serious experiment. Try the demo or trial first and compare it against the alternatives below before committing.

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