Cloud & Infrastructure · head to head
DeepInfra vs Fathom

DeepInfra
Cloud & Infrastructure
Low-cost cloud API for running open-source AI models
- From
- $0.08/month
- Rated
- -
The short version
- Only Fathom 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.; Fathom team plan requires minimum 2 users; cannot purchase single seat at team pricing
- They diverge on capability: DeepInfra covers Open model hosting, Fathom covers Auto-recording.
Where they differ
Only the attributes on which DeepInfra and Fathom actually diverge.
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 Fathom
- Auto-recording
- AI summaries
- Transcription
- Highlight clips
- Zoom
- Google Meet
- HubSpot
- Salesforce
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 Fathom
- Serving speech and image generation models via APInot Fathom
- Cost-sensitive production inference at scalenot Fathom
- Reserved GPU capacity via DeepCluster for steady workloadsnot Fathom
Fathom
- AI-powered meeting transcription and automatic note-taking for sales teams and professionalsnot DeepInfra
- Meeting analysis with AI scorecards and action item generation that syncs to CRMsnot 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.
Fathom
- Team plan requires minimum 2 users; cannot purchase single seat at team pricing
- CRM field sync and deal view summaries available only on Business plan ($34/user/month) and above
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
Fathom
FreeNo published plan breakdown. See the Fathom review.
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 Fathom if
- You need auto-recording.
- You want to start without paying.
- You work on Web, Zoom, Google Meet, Microsoft Teams.
- You also want ai summaries.
Questions people ask
- Is DeepInfra or Fathom better?
- Neither clearly leads. DeepInfra starts at $0.08/month and Fathom at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DeepInfra or Fathom?
- Fathom has a free tier; the other does not. Paid plans start at $0.08/month for DeepInfra and Free for Fathom.
- Does DeepInfra or Fathom run on more platforms?
- DeepInfra runs on web, api. Fathom runs on Web, Zoom, Google Meet, Microsoft Teams.
- Can I use Fathom for free?
- Yes. Fathom 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 Fathom is typically brought in for.
- What can DeepInfra do that Fathom cannot?
- DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster. Fathom covers Auto-recording, AI summaries, Transcription, Highlight clips.
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.
SourceDeepInfra: 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.
SourceDeepInfra: 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.
SourceDeepInfra: 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.
SourceDeepInfra: 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.
SourceRelated pages
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- DeepInfra vs Fireworks AI
- DeepInfra vs Anyscale
- DeepInfra vs Deno Deploy
- DeepInfra vs Heroku
- DeepInfra vs Hetzner Cloud
- DeepInfra vs Linode
- DeepInfra vs Packer
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- DeepInfra vs Render
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- DeepInfra vs Vagrant
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- DeepInfra vs Akamai
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- DeepInfra vs Anthropic API
- DeepInfra vs D-ID
- DeepInfra vs Stable Diffusion
- DeepInfra vs Perplexity
- DeepInfra vs Arize AI
- DeepInfra vs Black Forest Labs
- DeepInfra vs Cartesia
- DeepInfra vs Deepgram
- DeepInfra vs Helicone
- DeepInfra vs Ideogram
- DeepInfra vs Jasper
- DeepInfra vs PromptLayer
- DeepInfra vs Resemble AI
- DeepInfra vs Together AI
- DeepInfra vs AI21 Labs
- DeepInfra vs Copy.ai
- DeepInfra vs HeyGen
- Fathom vs Grafana Cloud
- Fathom vs Neon
- Fathom vs DigitalOcean
- Fathom vs AWS (Amazon Web Services)
- Fathom vs Lambda (AWS Serverless)
- Fathom vs Fireworks AI
- Fathom vs Anyscale
- Fathom vs Deno Deploy
- Fathom vs Heroku
- Fathom vs Hetzner Cloud
- Fathom vs Linode
- Fathom vs Packer
- Fathom vs Pulumi
- Fathom vs Render
- Fathom vs Upstash
- Fathom vs Vagrant
- Fathom vs Vultr
- Fathom vs Akamai
- Fathom vs Pika
- Fathom vs Anthropic API
- Fathom vs D-ID
- Fathom vs Stable Diffusion
- Fathom vs Perplexity
- Fathom vs Arize AI
- Fathom vs Black Forest Labs
- Fathom vs Cartesia
- Fathom vs Deepgram
- Fathom vs Helicone
- Fathom vs Ideogram
- Fathom vs Jasper
- Fathom vs PromptLayer
- Fathom vs Resemble AI
- Fathom vs Together AI
- Fathom vs AI21 Labs
- Fathom vs Copy.ai
- Fathom vs HeyGen

