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Cloud · head to head

DeepInfra vs Frappe

DeepInfra logo

DeepInfra

Cloud

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

From
$0.08/month
Free plan
No
Full reviewWebsite
Frappe logo

Frappe

Developer Tools

The Python web framework behind ERPNext, sold as managed hosting through Frappe Cloud

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only Frappe 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.; Frappe the framework is strongly opinionated: its own ORM, templating and job queue mean general Python and Django experience transfers only partly, and onboarding a new developer takes weeks rather than days.
  • They diverge on capability: DeepInfra covers Open model hosting, Frappe covers DocType modelling.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DeepInfra and Frappe actually diverge.

Attributes where DeepInfra and Frappe differ
AttributeDeepInfraFrappe
Starting price$0.08/monthFree
Pricing modelusage-basedPer month by site or server
Free tierNoYes
Platformsweb, apiWeb, Linux, Docker
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 Frappe

  • DocType modelling
  • Role and field permissions
  • Built-in REST API
  • Background jobs
  • Bench CLI
  • Frappe Cloud hosting
  • App marketplace
  • Multi-tenancy

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 Frappe
  • Serving speech and image generation models via APInot Frappe
  • Cost-sensitive production inference at scalenot Frappe
  • Reserved GPU capacity via DeepCluster for steady workloadsnot Frappe

Frappe

  • A team building an internal business application that needs permissions, audit trail and an API on day one rather than in month threenot DeepInfra
  • An ERPNext user who wants managed hosting, automatic updates and offsite backups without hiring a systems administratornot DeepInfra
  • An Indian or emerging-market business that wants to pay for application hosting in local currency at local price pointsnot DeepInfra
  • A consultancy shipping custom vertical apps to clients on a shared framework with per-client site isolationnot 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.

Frappe

  • The framework is strongly opinionated: its own ORM, templating and job queue mean general Python and Django experience transfers only partly, and onboarding a new developer takes weeks rather than days.
  • The developer pool is small and heavily concentrated in India, so hiring Frappe experience elsewhere is slow and expensive relative to mainstream stacks.
  • Documentation is uneven in depth and lags behind releases in places, so real answers often come from reading the source or the community forum.
  • Major version upgrades of the framework have historically broken custom apps that reach past the DocType layer, so bespoke code carries a recurring maintenance cost at each upgrade.
  • Frappe Cloud recommends against its cheapest Hetzner-backed option for mission-critical production, so the headline $5 entry price is not the price of a production-grade deployment.

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

Frappe

Free
  • Framework, self-hostedFree
    • MIT licensed, no licence fee
    • Install with bench on your own Linux servers
    • You carry updates, backups and security patching
  • Frappe Cloud Sites$5/month
    • Also listed at ₹410 per month
    • Shared servers with 150+ installable apps
    • Automatic updates and offsite backups
  • Frappe Cloud Servers$40/month
    • Also listed at ₹3,600 per month
    • Dedicated or shared virtual machines
    • Unlimited sites on your server

Which should you pick?

Choose DeepInfra if

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

Choose Frappe if

  • You need doctype modelling.
  • You want to start without paying.
  • You work on Web, Linux, Docker.
  • You also want role and field permissions.
Frappe review

Questions people ask

Is DeepInfra or Frappe better?
Neither clearly leads. DeepInfra starts at $0.08/month and Frappe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DeepInfra or Frappe?
Frappe has a free tier; the other does not. Paid plans start at $0.08/month for DeepInfra and Free for Frappe.
Does DeepInfra or Frappe run on more platforms?
DeepInfra runs on web, api. Frappe runs on Web, Linux, Docker.
Can I use Frappe for free?
Yes. Frappe 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 Frappe is typically brought in for.
What can DeepInfra do that Frappe cannot?
DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster. Frappe covers DocType modelling, Role and field permissions, Built-in REST API, Background jobs.

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
Frappe: Is Frappe the same as ERPNext?

No. Frappe is the framework; ERPNext is the ERP application written on it. You can run Frappe without ERPNext to build your own applications.

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
Frappe: What licence is the framework under?

MIT, which is permissive and imposes no obligation to publish your changes, unlike the AGPL used by several open source ERP rivals.

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
Frappe: Can I pay in rupees?

Yes. Frappe Cloud publishes the same plans in Indian rupees, ₹410 a month for sites and ₹3,600 for servers, rather than converting a dollar price at checkout.

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
Frappe: Do I have to use Frappe Cloud?

No, self-hosting with bench or Docker is fully supported and free. Frappe Cloud is a convenience purchase, and it funds the open source work.

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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