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Together AI

Crossed $1.15B in annual bookings, serving Cursor and Cognition among its customers

4.3 Very good 4.3
Strong focus on open-source models reduces dependence on closed providers Usage-based pricing requires careful monitoring at production scale
Reviewed by Challenging Voice Editorial · Updated Aug 2026 How we rate
PricingFree
Free planYes
CompanyTogether AI
PlatformsAPI, Web
CategoryAI Infrastructure & Agent Tooling
Founded2022
Last reviewedJul 2026
UpdatedAug 2026

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Overview

Together AI, founded in 2022 by Vipul Ved Prakash alongside Stanford professor Percy Liang and Ce Zhang, gives developers a platform to train, fine-tune, and run open-source AI models at scale, positioning itself as an alternative to relying entirely on closed, proprietary model providers.

That open-model focus scaled fast: annual bookings crossed $1.15 billion, with customers including Cursor, Cognition, and Decagon, and the company raised an $800 million Series C at an $8.3 billion valuation in July 2026, led by Aramco Ventures with Nvidia, General Catalyst, and Vista Equity Partners also participating.

Pricing runs usage-based per token or per GPU-hour depending on the service, with a free tier for initial testing before scaling into production workloads. For a development team that wants to train and run open-source models at scale rather than depend entirely on closed proprietary APIs, Together AI's open-model infrastructure addresses that directly.

Key features

  • Platform for training, fine-tuning, and running open-source AI models at scale
  • Usage-based pricing per token or GPU-hour depending on the service
  • $1.15B in annual bookings as of mid-2026
  • $8.3B valuation after an $800M Series C in July 2026
  • Customers include Cursor, Cognition, and Decagon
  • Free tier available for initial testing before production scale

Screenshots & demo

Demo video

Screenshots

Together AI screenshot 1

Pricing

Serverless Inference
Pay-per-token
  • From $0.0015 per 1M input tokens
  • Chat, vision, image, audio & video models
  • Batch API discounts available
  • No infrastructure to manage
Dedicated Inference
From $5.49/GPU-hr
  • Single-tenant dedicated GPU instances
  • H100, H200, B200, B300 options
  • Autoscaling included
  • Custom model support
GPU Clusters
From $3.99/GPU-hr
  • On-demand or reserved GPU clusters
  • H100, H200, B200 GPUs available
  • High-bandwidth parallel filesystem
  • Discounts for longer-term reservations

Is Together AI expensive?

Together AI has no advertised paid tier. Among the 75 priced tools we list in AI Infrastructure & Agent Tooling, the median entry price is $29 a month.

54% of AI Infrastructure & Agent Tooling tools in the directory offer a free tier, and this is one of them.

Compared against every priced listing in AI Infrastructure & Agent Tooling, recalculated as the catalogue changes. Method and the full market breakdown are in our AI tool pricing study.

Pros & cons

Pros

  • Strong focus on open-source models reduces dependence on closed providers
  • Massive, fast-growing customer base including major AI companies
  • Free tier lowers the barrier to testing before committing to production spend
  • Well-capitalized with backing from major enterprise and AI-focused investors

Cons

  • Usage-based pricing requires careful monitoring at production scale
  • Open-model focus means less access to the newest closed frontier models directly
  • Best suited to teams with in-house ML engineering capacity to fine-tune models

How it compares

ToolRatingFreeFromBest known for
Together AI (this tool)4.3YesFreePlatform for training, fine-tuning, and running open-source AI models at scale
E2B4.2YesFreeIsolated cloud sandboxes for AI agents to execute code safely
Modal4.5YesFreeServerless GPU inference with OpenAI-compatible endpoints
Falcon LLM4.1YesFreeFull family of open-weight models from 1B to 180B parameters

Alternatives to Together AI

4 tools matched to Together AI on what they do, their category and their price.

Modal

4.5

Serverless cloud platform for running AI workloads, with GPU inference, fine-tuning and training, sandboxes for agents, batch jobs and multi-node clusters, billed per second with $30 of free compute a month.

Frequently asked questions

What is Together AI?
Together AI, founded in 2022 by Vipul Ved Prakash alongside Stanford professor Percy Liang and Ce Zhang, gives developers a platform to train, fine-tune, and run open-source AI models at scale, positioning itself as an alternative to relying entirely on closed, proprietary model providers.
Is Together AI free?
Yes, Together AI offers a free plan. Paid plans unlock more features and higher usage limits.
How much does Together AI cost?
Together AI plans: Serverless Inference Pay-per-token; Dedicated Inference From $5.49/GPU-hr; GPU Clusters From $3.99/GPU-hr.
What are the best Together AI alternatives?
The closest matches in the directory are E2B, Modal, and Falcon LLM, compared side by side above.

Reviews

4.3 Editorial rating No reviews yet

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