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Cloud · head to head

DeepInfra vs Porter

DeepInfra logo

DeepInfra

Cloud

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

From
$0.08/month
Rated
-
Full reviewWebsite
Porter logo

Porter

Cloud

Effortless app infrastructure, your own cloud

From
$6/month
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DeepInfra focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.; Porter pricing based on vCPU and memory can be expensive for small projects
  • They diverge on capability: DeepInfra covers Open model hosting, Porter covers Rapid deployment.

Where they differ

Only the attributes on which DeepInfra and Porter actually diverge.

Attributes where DeepInfra and Porter differ
AttributeDeepInfraPorter
Starting price$0.08/month$6/month
Pricing modelusage-basedUnknown
Platformsweb, apiAWS, GCP, Azure

Identical on both: free tier (No), user rating (Not yet rated), category (Cloud).

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 Porter

  • Rapid deployment
  • Multi-cloud support
  • Framework agnostic
  • DevOps automation
  • Enterprise compliance
  • Cost optimization

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

Porter

  • Deploying Next.js applications with serverless backendsnot DeepInfra
  • Scaling microservices across multiple cloud providersnot DeepInfra
  • Running applications without dedicated DevOps staffnot 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.

Porter

  • Pricing based on vCPU and memory can be expensive for small projects
  • Vendor lock-in to Porter platform despite multi-cloud support
  • Limited customization for complex infrastructure requirements

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

Porter

$6/month
  • Standard$undefined/usage
    • RAM: $6 per month per GB
    • vCPU: $13 per month per vCPU
    • Unlimited applications
  • Enterprise$undefined/custom
    • Volume discounts available
    • All Standard features
    • Premium support

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 Porter if

  • You need rapid deployment.
  • You work on AWS, GCP, Azure.
  • You also want multi-cloud support.
Porter review

Questions people ask

Is DeepInfra or Porter better?
Neither clearly leads. DeepInfra starts at $0.08/month and Porter at $6/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DeepInfra or Porter?
DeepInfra starts at $0.08/month and Porter at $6/month.
Does DeepInfra or Porter run on more platforms?
DeepInfra runs on web, api. Porter runs on AWS, GCP, Azure.
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 Porter is typically brought in for.
What can DeepInfra do that Porter cannot?
DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster. Porter covers Rapid deployment, Multi-cloud support, Framework agnostic, DevOps automation.

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
Porter: How is Porter priced?

Porter uses pay-as-you-go pricing: $6 per month per GB of RAM and $13 per month per vCPU. You only pay for the resources your applications use, not cloud instance capacity.

Source
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
Porter: Does Porter include cloud provider costs?

Porter pricing excludes underlying cloud provider costs (AWS, Azure, GCP), though cloud credits can offset those expenses.

Source
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
Porter: Do startups get special pricing?

Yes, nonprofits receive 50% off standard rates, and startups may qualify for special pricing programs.

Source
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
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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