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Fireworks AI vs Galileo

Fireworks AI logo

Fireworks AI

Cloud

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

From
Free
Free plan
Yes
Full reviewWebsite
Galileo logo

Galileo

AI

Evaluation and observability platform for GenAI applications and agents

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Fireworks AI reserved and enterprise-tier pricing is not published and requires sales contact.; Galileo the free plan is limited to 5,000 traces per month, which is quickly outgrown by production workloads.
  • They diverge on capability: Fireworks AI covers Serverless inference, Galileo covers Pre-built evaluations.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

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

Attributes where Fireworks AI and Galileo differ
AttributeFireworks AIGalileo
Pricing modelusage-basedfreemium
CategoryCloudAI

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

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

Only in Galileo

  • Pre-built evaluations
  • Ground truth capture
  • Luna models
  • Agent behavior analysis
  • Production guardrails
  • Flexible deployment

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 Galileo
  • Fine-tuning models with LoRA or full-parameter trainingnot Galileo
  • Routing AI coding assistant traffic to cheaper models via Nexusnot Galileo
  • Reserving dedicated GPU capacity for production trafficnot Galileo

Galileo

  • Evaluating RAG and agent applications before production releasenot Fireworks AI
  • Monitoring live GenAI applications for failures and driftnot Fireworks AI
  • Applying real-time guardrails without custom integration worknot Fireworks AI
  • Reducing evaluation costs using distilled Luna judge modelsnot 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.

Galileo

  • The free plan is limited to 5,000 traces per month, which is quickly outgrown by production workloads.
  • Real-time guardrails and unlimited trace capacity are reserved for the custom-priced Enterprise tier.
  • Pro plan pricing scales with trace volume, so costs can grow unpredictably as usage increases.
  • On-premises deployment requires an Enterprise contract rather than being available self-serve.

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

Galileo

Free
  • FreeFree
    • 5,000 traces/month
    • Unlimited users
    • Unlimited custom evaluations
  • Pro$100/month
    • 50,000 traces/month
    • Standard role-based access control
    • Advanced analytics and insights
  • Enterprise$undefined/mo
    • Unlimited trace capacity
    • Custom rate limits
    • Hosted, VPC, or on-prem deployment

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 Galileo if

  • You need pre-built evaluations.
  • You want to start without paying.
  • You work on web, api.
  • You also want ground truth capture.
Galileo review

Questions people ask

Is Fireworks AI or Galileo better?
Neither clearly leads. Fireworks AI starts at Free and Galileo at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fireworks AI or Galileo?
Fireworks AI starts at Free and Galileo at Free.
Does Fireworks AI or Galileo run on more platforms?
Both run on web, api, so platform support will not decide this one for you.
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 Galileo is typically brought in for.
What can Fireworks AI do that Galileo cannot?
Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility. Galileo covers Pre-built evaluations, Ground truth capture, Luna models, Agent behavior analysis.

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
Galileo: What does Galileo cost?

Galileo offers a free plan, a Pro plan at $100/month billed yearly (with a 33% annual discount), and a custom-priced Enterprise plan for unlimited trace capacity.

Source
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
Galileo: Is there a free plan, and what are its limits?

The Free plan includes 5,000 traces per month with unlimited users and unlimited custom evaluations, aimed at developers and small teams experimenting with GenAI.

Source
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
Galileo: How is usage metered?

Galileo's pricing scales based on the number of traces processed each month, with Free capped at 5,000, Pro at 50,000, and Enterprise offering unlimited trace capacity.

Source
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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