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Jaeger vs Together AI

Jaeger logo

Jaeger

Cloud

Open-source end-to-end distributed tracing

From
Free
Rated
-
Full reviewWebsite
Together AI logo

Together AI

AI

Open-source AI at scale

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Jaeger tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: Jaeger covers Distributed trace search, Together AI covers Open-source models.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Jaeger and Together AI actually diverge.

Attributes where Jaeger and Together AI differ
AttributeJaegerTogether AI
Pricing modelOpen source, no licence feeusage-based
PlatformsLinux, Kubernetes, DockerApi, Cloud
CategoryCloudAI
FoundedUnknown2022

Identical on both: starting price (Free), free tier (Yes), 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 Jaeger

  • Distributed trace search
  • Dependency graph
  • Adaptive sampling
  • Pluggable storage

Only in Together AI

  • Open-source models
  • Fine-tuning
  • Fast inference
  • Embeddings
  • REST API
  • Python SDK
  • OpenAI compatible
  • Api support

What people use each for

The jobs each tool is most often brought in to do.

Jaeger

  • Finding which service in a request path causes the latencynot Together AI
  • Understanding real service dependencies rather than the diagram on the wikinot Together AI
  • Debugging failures that only appear under production traffic patternsnot Together AI

Together AI

  • LLM inference for production AI applicationsnot Jaeger
  • Content generation at scalenot Jaeger
  • Code execution and embeddingsnot Jaeger
  • Model fine-tuning and trainingnot Jaeger
  • Startup and enterprise AI deploymentnot Jaeger

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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

Together AI

  • Free tier limits not clearly specified in pricing documentation
  • Pricing varies significantly by model and use case
  • Requires account setup for production access
  • Batch API discounts apply only to non-urgent workloads

Pricing, plan by plan

Jaeger

Free
  • JaegerFree
    • Full functionality
    • No usage limits
    • Community support

Together AI

Free
  • Serverless Inference$0.03/1M input tokens
    • Chat and Vision models
    • Image generation
    • Video generation
  • Provisioned Throughput$21600/month
    • Up to 83% savings vs commercial alternatives
    • Reserved capacity
    • Guaranteed throughput
  • Dedicated Inference$5.49/hour
    • H100 GPU instance
    • Single-tenant deployment
    • No resource sharing
  • GPU Clusters$3.99/GPU-hour
    • On-demand capacity
    • Volume discounts available
    • Reserved options with up to 35% savings

Which should you pick?

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.
Jaeger review

Choose Together AI if

  • You need open-source models.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want fine-tuning.
Together AI review

Questions people ask

Is Jaeger or Together AI better?
Neither clearly leads. Jaeger starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Jaeger or Together AI?
Jaeger starts at Free and Together AI at Free.
Does Jaeger or Together AI run on more platforms?
Jaeger runs on Linux, Kubernetes, Docker. Together AI runs on Api, Cloud.
Can I use Jaeger for free?
Both have a free tier, so you can try either at no cost before committing.
What is Jaeger best used for?
Jaeger is most often used for finding which service in a request path causes the latency, understanding real service dependencies rather than the diagram on the wiki, debugging failures that only appear under production traffic patterns. Of those, finding which service in a request path causes the latency and understanding real service dependencies rather than the diagram on the wiki are not what Together AI is typically brought in for.
What can Jaeger do that Together AI cannot?
Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

Jaeger: Is Jaeger free?

Yes, open source and CNCF-graduated. Costs are the storage backend you run.

Together AI: Does Together AI offer a free tier?

Yes, Together AI advertises 'Start for free, scale on demand,' but specific free tier usage limits are not detailed on the pricing page.

Source
Jaeger: Do I use Jaeger or OpenTelemetry?

Both, usually. Instrument with OpenTelemetry and use Jaeger to store and query the traces.

Together AI: What are Together AI's highest model prices?

Serverless inference pricing ranges from free for base models up to $4.40 per 1M input tokens for premium models. Video generation costs $0.14 to $3.20 per video depending on resolution.

Source
Jaeger: Does Jaeger handle metrics and logs?

No. It is a tracing system. Metrics and logs need Prometheus, Loki or an equivalent.

Together AI: How much can I save with Provisioned Throughput?

Together AI offers up to 83% savings compared to commercial alternatives when using their Provisioned Throughput option with reserved capacity.

Source
Together AI: What is Together AI's fine-tuning pricing?

Standard fine-tuning costs $0.48 to $2.90 per 1M tokens depending on model size, with a minimum charge of $4.00 per job.

Source
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