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Developer Tools · head to head

Ona (formerly Gitpod) vs Playground AI

Ona (formerly Gitpod) logo

Ona (formerly Gitpod)

Developer Tools

Cloud development environments repositioned as a control plane for software engineering agents

From
Free
Free plan
Yes
Visit Ona (formerly Gitpod)Full review
Playground AI logo

Playground AI

Design

AI design studio for creating stickers, merch, posters, and logos from text

From
Free
Free plan
Yes
Visit Playground AIFull review

The short version

  • Free plans on both; paid from $20/mo and $12/mo.
  • Only Ona (formerly Gitpod) lists ephemeral environments; only Playground AI lists text-to-design generation.
  • Where Playground AI falls short: positioned more as a template-driven design app than a general-purpose image generator, limiting flexibility versus raw model access.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Ona (formerly Gitpod) and Playground AI actually diverge.

Attributes where Ona (formerly Gitpod) and Playground AI differ
AttributeOna (formerly Gitpod)Playground AI
Pricing modelPer month by compute unitFreemium
PlatformsWeb, Linux, macOS, Windows, AWSWeb, iOS
CategoryDeveloper ToolsDesign

Identical on both: starting price (Free), free tier (Yes).

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 Ona (formerly Gitpod)

  • Ephemeral environments
  • Agent sessions
  • Bring your own cloud
  • Devcontainer standard
  • Compute unit budgeting
  • Enterprise identity

Only in Playground AI

  • Text-to-design generation
  • Template library
  • Multiple AI models
  • Non-destructive editing
  • Mockup integration

What people use each for

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

Ona (formerly Gitpod)

  • Giving a large engineering team identical, disposable environments so onboarding is a link rather than a two day setupnot Playground AI
  • Running several coding agents in parallel against real databases and services instead of on a laptopnot Playground AI
  • Keeping source code off contractor and offshore laptops by moving the whole environment into a controlled accountnot Playground AI
  • Reproducing a hard-to-configure toolchain for a short-lived project without polluting anyone machinenot Playground AI

Playground AI

  • Designing stickers, posters, and logos without design skillsnot Ona (formerly Gitpod)
  • Creating print-ready merchandise mockupsnot Ona (formerly Gitpod)
  • Generating social media graphics from templatesnot Ona (formerly Gitpod)
  • Iterating on designs with non-destructive AI editing toolsnot Ona (formerly Gitpod)

Where each one falls short

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

Ona (formerly Gitpod)

  • Acquisition risk has already materialised: the company closed a sale to OpenAI on 10 August 2026 and now sits inside the Codex team, so nothing public guarantees pricing, continuity or neutrality between model vendors beyond honouring existing commitments
  • Two disruptive changes of direction inside a year, from development environments to agent orchestration and then from independence to acquisition, mean the product a browser IDE buyer originally chose no longer exists in that form
  • The Gitpod Classic sunset on 15 October 2025 required manual conversion of configuration, hand-moved secrets, self-rescued workspace data and a brand new account, which is the clearest available precedent for how the vendor handles deprecation
  • Community self-hosting is finished: the AGPL-3.0 repository is deprecated by its own README, and self-hosted now means a vendor-operated install in your AWS or GCP account, with no Azure, no on-premises and no air-gapped path
  • Pricing is difficult to model because it runs on a compute unit currency where subscription credits expire at the end of the month, the mapping from units to actual compute is not published on the pricing page, and Enterprise is quotation only

Playground AI

  • Positioned more as a template-driven design app than a general-purpose image generator, limiting flexibility versus raw model access
  • Advanced editing features are gated behind paid Pro and Pro Plus tiers
  • No enterprise or team plan is listed on the public pricing page

Pricing, plan by plan

Ona (formerly Gitpod)

Free
  • FreeFree
    • Up to 3 parallel environments
    • Machines up to 4 vCPU, 16 GB memory and 80 GB disk
    • Ona Cloud multi-tenant only
  • Core$20/mo
    • From 20 US dollars a month, up to 100 team members
    • Includes 80 to 2,200 recurring compute units a month depending on tier
    • Additional units from 10 US dollars per 40 units
  • EnterpriseOn request
    • Single-tenant deployment in your own AWS or GCP account
    • SAML and OIDC single sign-on
    • Dedicated account management and forward deployed engineers

Playground AI

Free
  • FreeFree
    • Exploring and casual creation
  • Pro$12/mo
    • For serious creators
    • Billed annually; $15/month billed monthly
  • Pro Plus$36/mo
    • Best value tier for professionals
    • Billed annually; $45/month billed monthly

Which should you pick?

Choose Ona (formerly Gitpod) if

  • You need ephemeral environments.
  • You want to start without paying.
  • You work on Web, Linux, macOS, Windows, AWS.
  • You also want agent sessions.
Ona (formerly Gitpod) review

Choose Playground AI if

  • You need text-to-design generation.
  • You want to start without paying.
  • You work on Web, iOS.
  • You also want template library.
Playground AI review

Questions people ask

Is Ona (formerly Gitpod) or Playground AI better?
Neither clearly leads. Ona (formerly Gitpod) starts at Free and Playground AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Ona (formerly Gitpod) or Playground AI?
Ona (formerly Gitpod) starts at Free and Playground AI at Free.
Does Ona (formerly Gitpod) or Playground AI run on more platforms?
Ona (formerly Gitpod) runs on Web, Linux, macOS, Windows, AWS. Playground AI runs on Web, iOS.
Can I use Ona (formerly Gitpod) for free?
Both have a free tier, so you can try either at no cost before committing.
What is Ona (formerly Gitpod) best used for?
Ona (formerly Gitpod) is most often used for giving a large engineering team identical, disposable environments so onboarding is a link rather than a two day setup, running several coding agents in parallel against real databases and services instead of on a laptop, keeping source code off contractor and offshore laptops by moving the whole environment into a controlled account, reproducing a hard-to-configure toolchain for a short-lived project without polluting anyone machine. Of those, giving a large engineering team identical, disposable environments so onboarding is a link rather than a two day setup and running several coding agents in parallel against real databases and services instead of on a laptop are not what Playground AI is typically brought in for.
What can Ona (formerly Gitpod) do that Playground AI cannot?
Ona (formerly Gitpod) covers Ephemeral environments, Agent sessions, Bring your own cloud, Devcontainer standard. Playground AI covers Text-to-design generation, Template library, Multiple AI models, Non-destructive editing.

Answered from the vendors’ own pages

Ona (formerly Gitpod): Is Gitpod still called Gitpod?

No. It rebranded to Ona in September 2025, and gitpod.io now redirects to ona.com. The company was acquired by OpenAI in a deal that closed on 10 August 2026.

Playground AI: What are Playground AI's free plan limits?

Free users can create up to 10 images every 3 hours, get 3 monthly generations across Nano Banana, GPT Image 2 and Seedream, and 2 downloads per day, with no upscaling or background removal.

Source
Ona (formerly Gitpod): Can I still self-host it for free?

No. The AGPL-3.0 self-hosted project is deprecated by its own README. What is offered now is a vendor-operated single-tenant install in your AWS or GCP account on the Enterprise plan.

Playground AI: How much do the paid plans cost?

Pro is $12/month billed annually ($15/month billed monthly) with 150 monthly credits, and Pro Plus is $36/month billed annually ($45/month billed monthly) with 1,000 monthly credits.

Source
Ona (formerly Gitpod): What happened to Gitpod Classic?

Pay-as-you-go Classic was switched off on 15 October 2025. Migration required converting gitpod.yml to devcontainer.json, moving secrets by hand, downloading workspace data before the cutoff and creating a new account.

Playground AI: How is usage metered on Playground AI?

Generations consume credits; Nano Banana Pro costs 4 credits per generation while all other models cost 1 credit per generation, with monthly credit pools varying by plan.

Source
Ona (formerly Gitpod): What does it cost?

Core starts at 20 US dollars a month and includes a monthly allowance of Ona Compute Units, with more from 10 dollars per 40 units. Subscription credits expire monthly. Enterprise is quoted.

Playground AI: How do I cancel or manage billing?

Users can update payment methods or cancel through the Billing Portal in the avatar menu; only credit and debit cards are accepted.

Source
Playground AI: Does Playground AI offer API access?

API access is available by application via a form, and is prioritized for partners generating over 1 million images per month.

Source
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