Softwr

Cloud · head to head

DeepInfra vs Lambda Labs

DeepInfra logo

DeepInfra

Cloud

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

From
$0.08/month
Rated
-
Lambda Labs logo

Lambda Labs

AI

GPU cloud for deep learning

From
$1.1/per-hour
Rated
-

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.; Lambda Labs on demand capacity is first come access rather than guaranteed, so an instance type can be unavailable when needed
  • They diverge on capability: DeepInfra covers Open model hosting, Lambda Labs covers NVIDIA GPUs.

Where they differ

Only the attributes on which DeepInfra and Lambda Labs actually diverge.

Attributes where DeepInfra and Lambda Labs differ
AttributeDeepInfraLambda Labs
Starting price$0.08/month$1.1/per-hour
Platformsweb, apiCloud
CategoryCloudAI
FoundedUnknown2012

Identical on both: pricing model (usage-based), 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 Lambda Labs

  • NVIDIA GPUs
  • Pre-installed frameworks
  • Persistent storage
  • SSH access
  • JupyterLab
  • VSCode
  • SSH
  • Cloud support

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

Lambda Labs

  • Renting GPU instances for model training and inferencenot DeepInfra
  • Short term access to high memory accelerators without buying hardwarenot 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.

Lambda Labs

  • On demand capacity is first come access rather than guaranteed, so an instance type can be unavailable when needed
  • H100 pricing varies within a band, at $3.99 to $4.29 an hour per GPU, so the rate is not fixed
  • Reserved capacity is arranged by contacting the team rather than self serve
  • Prices are quoted before applicable tax

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

Lambda Labs

$1.1/per-hour
  • On-Demand$1.1/per-hour
    • A10 GPU
    • Instant availability
  • ReservedFree
    • Volume discounts
    • Guaranteed capacity

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 Lambda Labs if

  • You need nvidia gpus.
  • You work on Cloud.
  • You also want pre-installed frameworks.

Questions people ask

Is DeepInfra or Lambda Labs better?
Neither clearly leads. DeepInfra starts at $0.08/month and Lambda Labs at $1.1/per-hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DeepInfra or Lambda Labs?
DeepInfra starts at $0.08/month and Lambda Labs at $1.1/per-hour.
Does DeepInfra or Lambda Labs run on more platforms?
DeepInfra runs on web, api. Lambda Labs runs on Cloud.
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 Lambda Labs is typically brought in for.
What can DeepInfra do that Lambda Labs cannot?
DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster. Lambda Labs covers NVIDIA GPUs, Pre-installed frameworks, Persistent storage, SSH access.

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
Lambda Labs: What does Lambda Labs GPU pricing depend on?

Lambda Labs pricing depends on the GPU model (H100, B200, A100, V100, etc.), cluster size, and contract length. For example, a 16-GPU H100 cluster costs $6.16/GPU/hour for 2 weeks to 1 year, while A100 GPUs are $1.99-$2.79/GPU/hour.

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
Lambda Labs: Are there volume discounts for larger GPU clusters?

Yes. Pricing decreases with larger cluster orders. For example, NVIDIA H100 clusters cost $6.16/GPU/hour for 16 GPUs, $5.85/GPU/hour for 64 GPUs, and $5.54/GPU/hour for 256 GPUs (all for 2 weeks to 1 year terms).

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
Lambda Labs: Can I get custom pricing for a long-term GPU contract?

Yes. For cluster orders of 16+ GPUs with 1-year or longer contracts, Lambda Labs offers custom pricing. Contact their sales team to request a quote.

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
Lambda Labs: What additional costs should I expect beyond the hourly GPU rate?

All listed prices are plus applicable sales tax, VAT, or GST depending on your location.

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
Share

Related pages

Other head to heads