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Cloud · head to head

Fireworks AI vs Steampipe

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
Steampipe logo

Steampipe

Developer Tools

Query cloud APIs, SaaS tools and code with SQL, with no extract or load step

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.; Steampipe aGPL-3.0 across all four engines is a procurement blocker at organisations that ban the licence outright, and the network clause reaches any internal portal or service that puts a web interface in front of it.
  • They diverge on capability: Fireworks AI covers Serverless inference, Steampipe covers SQL over live APIs.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

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

Attributes where Fireworks AI and Steampipe differ
AttributeFireworks AISteampipe
Pricing modelusage-basedOpen source, with paid hosting through Turbot Pipes
Platformsweb, apimacOS, Linux, Windows, Docker, Web
CategoryCloudDeveloper Tools

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 Fireworks AI

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

Only in Steampipe

  • SQL over live APIs
  • Wide plugin set
  • Embedded Postgres
  • Compliance benchmarks
  • Joins across providers
  • Hosted option

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

Steampipe

  • Security teams answering posture questions against live cloud accounts rather than a nightly exportnot Fireworks AI
  • Compliance evidence gathering where the answer must reflect the account at the moment it is askednot Fireworks AI
  • Inventory and drift questions spanning several cloud providers in one querynot Fireworks AI
  • Engineers who would rather write SQL than learn each provider command line toolnot 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.

Steampipe

  • AGPL-3.0 across all four engines is a procurement blocker at organisations that ban the licence outright, and the network clause reaches any internal portal or service that puts a web interface in front of it.
  • Dashboards, benchmarks and mods were removed from Steampipe entirely at version 1.0 in October 2024 and now live in a separate product, so pre-2024 documentation and tutorials describe commands that no longer exist.
  • Live querying is bound by cloud provider API rate limits and keeps no persistent store by default, which is why a separate DuckDB-backed product exists for log volumes and why large accounts return slowly.
  • The company is fifteen people and bootstrapped, maintaining four command line tools plus a hosted service plus two further products, and the newer tools have thin community traction relative to that surface area.
  • Hosted tiers include only three users regardless of tier, with additional Enterprise users charged separately, so a team of thirty costs an order of magnitude more than the headline figure before compute and storage are counted.

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

Steampipe

Free
  • Steampipe CLIFree
    • AGPL-3.0
    • All plugins
    • No user or query limits
  • Pipes DeveloperFree
    • One user
    • 400 compute minutes
    • 3GB storage
  • Pipes Team$49/month
    • Three users
    • 2,000 compute minutes
    • 20GB storage
  • Pipes Enterprise$249/month
    • Three users
    • 10,000 compute minutes
    • 100GB storage

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 Steampipe if

  • You need sql over live apis.
  • You want to start without paying.
  • You work on macOS, Linux, Windows, Docker, Web.
  • You also want wide plugin set.
Steampipe review

Questions people ask

Is Fireworks AI or Steampipe better?
Neither clearly leads. Fireworks AI starts at Free and Steampipe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fireworks AI or Steampipe?
Fireworks AI starts at Free and Steampipe at Free.
Does Fireworks AI or Steampipe run on more platforms?
Fireworks AI runs on web, api. Steampipe runs on macOS, Linux, Windows, Docker, Web.
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 Steampipe is typically brought in for.
What can Fireworks AI do that Steampipe cannot?
Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility. Steampipe covers SQL over live APIs, Wide plugin set, Embedded Postgres, Compliance benchmarks.

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
Steampipe: When did Steampipe become AGPL?

May 2021, about four months after the project went public. It is a settled licence rather than a recent change, and predates the Business Source Licence wave it is often confused with.

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
Steampipe: Where did the dashboards and benchmarks go?

Into Powerpipe. They were deprecated in March 2024 and removed from Steampipe at version 1.0 in October 2024, so the check, dashboard, mod and variable commands are gone.

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
Steampipe: Is it fast on a large cloud estate?

Not always. Queries call provider APIs at request time, so rate limits rather than query planning set the pace, and there is no persistent store by default.

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
Steampipe: Does the AGPL affect internal use?

Running it internally for your own analysis is fine. Putting a web interface in front of it that other people use is where the network clause becomes a question for your legal team.

Fireworks AI: Does region selection affect pricing?

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

Source
Steampipe: Is a bootstrapped vendor a risk?

It cuts both ways. There is no investor pressure toward a licence change or an exit, and there are also fifteen people supporting a large product surface.

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