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AI · head to head

Together AI vs Vagrant

Together AI logo

Together AI

AI

Open-source AI at scale

From
Free
Rated
-
Vagrant logo

Vagrant

Cloud

Development environments made easy

From
Free
Rated
-

The short version

  • Each has a real cost: Together AI free tier limits not clearly specified in pricing documentation; Vagrant vagrant 2.4.3 and later is licensed under the Business Source License 1.1 with IBM Corporation as licensor, not an OSI open source licence
  • They diverge on capability: Together AI covers Open-source models, Vagrant covers Box management.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Together AI and Vagrant actually diverge.

Attributes where Together AI and Vagrant differ
AttributeTogether AIVagrant
Pricing modelusage-basedopen-source
PlatformsApi, CloudLinux, Windows, Mac
CategoryAICloud
Founded20222010

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Together AI

  • Open-source models
  • Fine-tuning
  • Fast inference
  • Embeddings
  • REST API
  • Python SDK
  • OpenAI compatible
  • Api support

Only in Vagrant

  • Box management
  • Provider support
  • Multi-machine setups
  • Provisioners
  • Networking
  • Synced folders
  • Snapshots
  • Plugins

What people use each for

The jobs each tool is most often brought in to do.

Together AI

  • LLM inference for production AI applicationsnot Vagrant
  • Content generation at scalenot Vagrant
  • Code execution and embeddingsnot Vagrant
  • Model fine-tuning and trainingnot Vagrant
  • Startup and enterprise AI deploymentnot Vagrant

Vagrant

  • Reproducible local development environments defined in a Vagrantfilenot Together AI
  • Provisioning identical VMs across VirtualBox, VMware and Hyper-V for a teamnot Together AI
  • Sandboxing multi-machine setups on a developer laptopnot Together AI

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Together AI

  • Free tier limits not clearly specified in pricing documentation
  • Pricing varies significantly by model and use case
  • Requires account setup for production access
  • Batch API discounts apply only to non-urgent workloads

Vagrant

  • Vagrant 2.4.3 and later is licensed under the Business Source License 1.1 with IBM Corporation as licensor, not an OSI open source licence
  • The Additional Use Grant forbids offering Vagrant to third parties on a hosted or embedded basis in a paid product that competes with IBM's paid versions of Vagrant
  • Each version converts to the MPL 2.0 Change License only four years after that version is first published
  • Uses that fall outside the Additional Use Grant require a separately negotiated licence from the licensor

Pricing, plan by plan

Together AI

Free
  • Serverless Inference$0.03/1M input tokens
    • Chat and Vision models
    • Image generation
    • Video generation
  • Provisioned Throughput$21600/month
    • Up to 83% savings vs commercial alternatives
    • Reserved capacity
    • Guaranteed throughput
  • Dedicated Inference$5.49/hour
    • H100 GPU instance
    • Single-tenant deployment
    • No resource sharing
  • GPU Clusters$3.99/GPU-hour
    • On-demand capacity
    • Volume discounts available
    • Reserved options with up to 35% savings

Vagrant

Free
  • Open SourceFree
    • Development environment provisioning
    • Multiple providers
    • Provisioner support

Which should you pick?

Choose Together AI if

  • You need open-source models.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want fine-tuning.

Choose Vagrant if

  • You need box management.
  • You want to start without paying.
  • You work on Linux, Windows, Mac.
  • You also want provider support.

Questions people ask

Is Together AI or Vagrant better?
Neither clearly leads. Together AI starts at Free and Vagrant at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Together AI or Vagrant?
Together AI starts at Free and Vagrant at Free.
Does Together AI or Vagrant run on more platforms?
Together AI runs on Api, Cloud. Vagrant runs on Linux, Windows, Mac.
Can I use Together AI for free?
Both have a free tier, so you can try either at no cost before committing.
What is Together AI best used for?
Together AI is most often used for llm inference for production ai applications, content generation at scale, code execution and embeddings, model fine-tuning and training. Of those, llm inference for production ai applications and content generation at scale are not what Vagrant is typically brought in for.
What can Together AI do that Vagrant cannot?
Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings. Vagrant covers Box management, Provider support, Multi-machine setups, Provisioners.

Answered from the vendors’ own pages

Together AI: Does Together AI offer a free tier?

Yes, Together AI advertises 'Start for free, scale on demand,' but specific free tier usage limits are not detailed on the pricing page.

Source
Vagrant: Is Vagrant free to use?

Vagrant is a free, open-source command-line utility for managing virtual machine lifecycles.

Source
Together AI: What are Together AI's highest model prices?

Serverless inference pricing ranges from free for base models up to $4.40 per 1M input tokens for premium models. Video generation costs $0.14 to $3.20 per video depending on resolution.

Source
Vagrant: Does Vagrant offer a paid tier?

Vagrant itself is free. HashiCorp offers a HCP Vagrant Registry with a free tier for use with Vagrant.

Source
Together AI: How much can I save with Provisioned Throughput?

Together AI offers up to 83% savings compared to commercial alternatives when using their Provisioned Throughput option with reserved capacity.

Source
Together AI: What is Together AI's fine-tuning pricing?

Standard fine-tuning costs $0.48 to $2.90 per 1M tokens depending on model size, with a minimum charge of $4.00 per job.

Source
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