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Cloud · head to head

Fireworks AI vs Zipkin

Fireworks AI logo

Fireworks AI

Cloud

Fast inference and fine-tuning platform for open and custom AI models

From
Free
Rated
-
Full reviewWebsite
Zipkin logo

Zipkin

Cloud

Distributed tracing system for microservice latency

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Fireworks AI reserved and enterprise-tier pricing is not published and requires sales contact.; Zipkin less active development and smaller community momentum than Jaeger
  • They diverge on capability: Fireworks AI covers Serverless inference, Zipkin covers Trace collection and search.

Where they differ

Only the attributes on which Fireworks AI and Zipkin actually diverge.

Attributes where Fireworks AI and Zipkin differ
AttributeFireworks AIZipkin
Pricing modelusage-basedOpen source, no licence fee
Platformsweb, apiLinux, Docker, Kubernetes, Self-hosted

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

  • Serverless inference
  • On-demand and reserved deployments
  • Managed fine-tuning
  • OpenAI/Anthropic API compatibility
  • Nexus router
  • Long context models

Only in Zipkin

  • Trace collection and search
  • Dependency diagram
  • Simple deployment
  • Pluggable storage

What people use each for

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

Fireworks AI

  • Deploying open-source LLMs behind an OpenAI-compatible APInot Zipkin
  • Fine-tuning models with LoRA or full-parameter trainingnot Zipkin
  • Routing AI coding assistant traffic to cheaper models via Nexusnot Zipkin
  • Reserving dedicated GPU capacity for production trafficnot Zipkin

Zipkin

  • Adding distributed tracing quickly without standing up heavy infrastructurenot Fireworks AI
  • Java and Spring Boot estates, where instrumentation support is long-establishednot Fireworks AI
  • Small deployments where Jaeger is more than the problem requiresnot Fireworks AI

Where each one falls short

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

Fireworks AI

  • Reserved and enterprise-tier pricing is not published and requires sales contact.
  • Model catalog is curated to ~30 models, smaller than DeepInfra's 100+ model library.
  • On-demand GPU rates are scheduled to increase from September 1, adding cost unpredictability for locked-in workloads.

Zipkin

  • Less active development and smaller community momentum than Jaeger
  • Fewer features: sampling, storage options and UI are all more limited
  • The interface is dated and slower to work with on large trace volumes
  • Tracing alone still leaves metrics and logs in separate tools during an incident

Pricing, plan by plan

Fireworks AI

Free
  • Serverless$undefined/mo
    • Pay-per-token from $0.07 to $1.74 per million input tokens
    • $1 free credit to start
  • On-Demand$7/month
    • Dedicated GPU instances from $7/hour for H100/H200
  • Reserved$undefined/mo
    • Guaranteed capacity and priority hardware access
    • Custom pricing

Zipkin

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

Which should you pick?

Choose Fireworks AI if

  • You need serverless inference.
  • You want to start without paying.
  • You work on web, api.
  • You also want on-demand and reserved deployments.
Fireworks AI review

Choose Zipkin if

  • You need trace collection and search.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want dependency diagram.
Zipkin review

Questions people ask

Is Fireworks AI or Zipkin better?
Neither clearly leads. Fireworks AI starts at Free and Zipkin at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fireworks AI or Zipkin?
Fireworks AI starts at Free and Zipkin at Free.
Does Fireworks AI or Zipkin run on more platforms?
Fireworks AI runs on web, api. Zipkin runs on Linux, Docker, Kubernetes, Self-hosted.
Can I use Fireworks AI for free?
Both have a free tier, so you can try either at no cost before committing.
What is Fireworks AI best used for?
Fireworks AI is most often used for deploying open-source llms behind an openai-compatible api, fine-tuning models with lora or full-parameter training, routing ai coding assistant traffic to cheaper models via nexus, reserving dedicated gpu capacity for production traffic. Of those, deploying open-source llms behind an openai-compatible api and fine-tuning models with lora or full-parameter training are not what Zipkin is typically brought in for.
What can Fireworks AI do that Zipkin cannot?
Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility. Zipkin covers Trace collection and search, Dependency diagram, Simple deployment, Pluggable storage.

Answered from the vendors’ own pages

Fireworks AI: How is Fireworks AI billing calculated?

Serverless inference uses postpaid, pay-per-token billing across Standard, Priority, and Fast tiers, with rates from $0.07 to $1.74 per million tokens depending on model.

Source
Zipkin: Is Zipkin free?

Yes, open source with no licence fee.

Fireworks AI: Is there a free tier or trial credit?

New accounts receive $1 in free credit to try serverless inference before adding a payment method.

Source
Zipkin: Zipkin or Jaeger?

Jaeger has more momentum, more features and CNCF backing. Zipkin is lighter and quicker to stand up, and remains well supported in the Java and Spring ecosystem.

Fireworks AI: How much do on-demand GPU deployments cost?

Dedicated on-demand instances range from $7-8/hour for H100/H200 GPUs up to $18-20/hour for GB300, billed per GPU second with no start-up surcharge.

Source
Zipkin: Does Zipkin work with OpenTelemetry?

Yes. OpenTelemetry can export to Zipkin, which is now the usual way to instrument for it.

Fireworks AI: How is fine-tuning priced?

Managed training is billed per 1 million training tokens for supervised or preference tuning, while reinforcement tuning is billed per GPU hour.

Source
Fireworks AI: Does region selection affect pricing?

Yes, region-restricted on-demand deployments carry a 1.5x premium over standard regional pricing.

Source
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