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Cloud · head to head

DeepInfra vs Palo Alto Networks

DeepInfra logo

DeepInfra

Cloud

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

From
$0.08/month
Rated
-
Full reviewWebsite
Palo Alto Networks logo

Palo Alto Networks

Networking

Enterprise cybersecurity platform

From
On request
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.; Palo Alto Networks enterprise-focused pricing model
  • They diverge on capability: DeepInfra covers Open model hosting, Palo Alto Networks covers Advanced threat prevention.

Where they differ

Only the attributes on which DeepInfra and Palo Alto Networks actually diverge.

Attributes where DeepInfra and Palo Alto Networks differ
AttributeDeepInfraPalo Alto Networks
Starting price$0.08/monthOn request
Pricing modelusage-basedsubscription
Platformsweb, apiCloud, On-premises, Hybrid
CategoryCloudNetworking
FoundedUnknown2005

Identical on both: free tier (No), 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 Palo Alto Networks

  • Advanced threat prevention
  • Threat detection and response
  • Cloud security
  • Endpoint protection
  • Network security
  • API protection
  • Incident response
  • Threat intelligence

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

Palo Alto Networks

  • Enterprise network security and threat protectionnot DeepInfra
  • Cloud-native application protectionnot DeepInfra
  • Identity and access securitynot DeepInfra
  • Security operations and incident responsenot 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.

Palo Alto Networks

  • Enterprise-focused pricing model
  • Complex implementation required

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

Palo Alto Networks

On request
  • Enterprise$undefined/year
    • Threat prevention
    • Detection and response
    • Cloud security

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 Palo Alto Networks if

  • You need advanced threat prevention.
  • You work on Cloud, On-premises, Hybrid.
  • You also want threat detection and response.
Palo Alto Networks review

Questions people ask

Is DeepInfra or Palo Alto Networks better?
Neither clearly leads. DeepInfra starts at $0.08/month and Palo Alto Networks at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DeepInfra or Palo Alto Networks?
DeepInfra starts at $0.08/month and Palo Alto Networks at On request.
Does DeepInfra or Palo Alto Networks run on more platforms?
DeepInfra runs on web, api. Palo Alto Networks runs on Cloud, On-premises, Hybrid.
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 Palo Alto Networks is typically brought in for.
What can DeepInfra do that Palo Alto Networks cannot?
DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster. Palo Alto Networks covers Advanced threat prevention, Threat detection and response, Cloud security, Endpoint protection.

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
Palo Alto Networks: How much do Palo Alto Networks products cost?

Palo Alto Networks does not publish pricing on their main website. Customers must request a demo, trial, or contact their sales team directly to receive custom pricing based on specific security needs and deployment scale.

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
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
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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