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Cloud · head to head

DeepInfra vs Ona (formerly Gitpod)

DeepInfra logo

DeepInfra

Cloud

Low-cost cloud API for running open-source AI models

From
$0.08/month
Free plan
No
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

The short version

  • Only Ona (formerly Gitpod) has a free tier, so it costs nothing to try first.
  • Each has a real cost: DeepInfra focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.; 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.
  • They diverge on capability: DeepInfra covers Open model hosting, Ona (formerly Gitpod) covers Ephemeral environments.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

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

Attributes where DeepInfra and Ona (formerly Gitpod) differ
AttributeDeepInfraOna (formerly Gitpod)
Starting price$0.08/monthFree
Pricing modelusage-basedPer month by compute unit
Free tierNoYes
Platformsweb, apiWeb, Linux, macOS, Windows, AWS, Google Cloud Platform
CategoryCloudDeveloper Tools

Identical on both: 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 DeepInfra

  • Open model hosting
  • Pay-per-token pricing
  • Long context support
  • DeepCluster
  • Zero retention policy
  • Real-time metrics

Only in Ona (formerly Gitpod)

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

What people use each for

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

DeepInfra

  • Running open-source LLM inference without managing GPUsnot Ona (formerly Gitpod)
  • Serving speech and image generation models via APInot Ona (formerly Gitpod)
  • Cost-sensitive production inference at scalenot Ona (formerly Gitpod)
  • Reserved GPU capacity via DeepCluster for steady workloadsnot Ona (formerly Gitpod)

Ona (formerly Gitpod)

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

Where each one falls short

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

DeepInfra

  • Focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.
  • Model selection is limited to what DeepInfra chooses to host, unlike self-managed platforms.
  • No published free tier; usage is billed from the first token.

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.

Pricing, plan by plan

DeepInfra

$0.08/month
  • Pay-as-you-go$undefined/mo
    • Per-model token pricing from $0.08 to $2.85 per million input tokens
    • No long-term contract
  • DeepCluster$1.98/month
    • Dedicated NVIDIA B300 GPU clusters at $1.98/GPU-hour

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$20/month
    • From 20 US dollars a month, up to 100 team members
    • Includes 80 to 2,200 recurring compute units a month depending on tier
    • Additional units from 10 US dollars per 40 units
  • Enterprise$undefined/year
    • Single-tenant deployment in your own AWS or GCP account
    • SAML and OIDC single sign-on
    • Dedicated account management and forward deployed engineers

Which should you pick?

Choose DeepInfra if

  • You need open model hosting.
  • You work on web, api.
  • You also want pay-per-token pricing.

Choose Ona (formerly Gitpod) if

  • You need ephemeral environments.
  • You want to start without paying.
  • You work on Web, Linux, macOS, Windows, AWS, Google Cloud Platform.
  • You also want agent sessions.

Questions people ask

Is DeepInfra or Ona (formerly Gitpod) better?
Neither clearly leads. DeepInfra starts at $0.08/month and Ona (formerly Gitpod) at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DeepInfra or Ona (formerly Gitpod)?
Ona (formerly Gitpod) has a free tier; the other does not. Paid plans start at $0.08/month for DeepInfra and Free for Ona (formerly Gitpod).
Does DeepInfra or Ona (formerly Gitpod) run on more platforms?
DeepInfra runs on web, api. Ona (formerly Gitpod) runs on Web, Linux, macOS, Windows, AWS, Google Cloud Platform.
Can I use Ona (formerly Gitpod) for free?
Yes. Ona (formerly Gitpod) has a free tier, so you can try it without paying. DeepInfra starts at $0.08/month.
What is DeepInfra best used for?
DeepInfra is most often used for running open-source llm inference without managing gpus, serving speech and image generation models via api, cost-sensitive production inference at scale, reserved gpu capacity via deepcluster for steady workloads. Of those, running open-source llm inference without managing gpus and serving speech and image generation models via api are not what Ona (formerly Gitpod) is typically brought in for.
What can DeepInfra do that Ona (formerly Gitpod) cannot?
DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster. Ona (formerly Gitpod) covers Ephemeral environments, Agent sessions, Bring your own cloud, Devcontainer standard.

Answered from the vendors’ own pages

DeepInfra: Is there a free tier on DeepInfra?

No free tier is published; usage is billed pay-as-you-go from the first token, though a credit card or pre-payment is required before you can send requests.

Source
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.

DeepInfra: How is usage priced?

Language models are billed per million input/output tokens, other models by inference execution time, and audio models per minute of audio processed, with no minimum commitment.

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.

DeepInfra: What are the Standard, Priority, and Flex tiers?

Standard is default best-effort pricing at 1x, Priority costs 1.5x for faster time-to-first-token during peak demand, and Flex costs 0.8x for non-production or asynchronous workloads.

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.

DeepInfra: How does billing scale with spend?

Accounts advance through usage tiers as cumulative payments cross $20, $100, $500, $2,000, and $10,000 thresholds, with invoices generated monthly or at each threshold.

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.

DeepInfra: Is there a limit on concurrent requests?

Yes, accounts are limited to 200 concurrent requests by default, though spending limits can also be configured to prevent unexpected charges.

Source
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