Cloud · head to head
DeepInfra vs Jaeger

DeepInfra
Cloud
Low-cost cloud API for running open-source AI models
- From
- $0.08/month
- Rated
- -
The short version
- Only Jaeger 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.; Jaeger tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps
- They diverge on capability: DeepInfra covers Open model hosting, Jaeger covers Distributed trace search.
Where they differ
Only the attributes on which DeepInfra and Jaeger actually diverge.
Identical on both: 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 Jaeger
- Distributed trace search
- Dependency graph
- Adaptive sampling
- Pluggable storage
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 Jaeger
- Serving speech and image generation models via APInot Jaeger
- Cost-sensitive production inference at scalenot Jaeger
- Reserved GPU capacity via DeepCluster for steady workloadsnot Jaeger
Jaeger
- Finding which service in a request path causes the latencynot DeepInfra
- Understanding real service dependencies rather than the diagram on the wikinot DeepInfra
- Debugging failures that only appear under production traffic patternsnot 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.
Jaeger
- Tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps
- Storage is the real operational cost: high-volume tracing on Elasticsearch or Cassandra is a cluster to run and pay for
- Traces alone, without correlated metrics and logs, leave you switching between tools during an incident
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
Jaeger
Free- JaegerFree
- Full functionality
- No usage limits
- Community 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.
Choose Jaeger if
- You need distributed trace search.
- You want to start without paying.
- You work on Linux, Kubernetes, Docker.
- You also want dependency graph.
Questions people ask
- Is DeepInfra or Jaeger better?
- Neither clearly leads. DeepInfra starts at $0.08/month and Jaeger at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DeepInfra or Jaeger?
- Jaeger has a free tier; the other does not. Paid plans start at $0.08/month for DeepInfra and Free for Jaeger.
- Does DeepInfra or Jaeger run on more platforms?
- DeepInfra runs on web, api. Jaeger runs on Linux, Kubernetes, Docker.
- Can I use Jaeger for free?
- Yes. Jaeger 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 Jaeger is typically brought in for.
- What can DeepInfra do that Jaeger cannot?
- DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster. Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage.
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.
SourceJaeger: Is Jaeger free?
Yes, open source and CNCF-graduated. Costs are the storage backend you run.
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.
SourceJaeger: Do I use Jaeger or OpenTelemetry?
Both, usually. Instrument with OpenTelemetry and use Jaeger to store and query the traces.
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.
SourceJaeger: Does Jaeger handle metrics and logs?
No. It is a tracing system. Metrics and logs need Prometheus, Loki or an equivalent.
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.
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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