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Fireworks AI vs Namespace

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
Namespace logo

Namespace

Developer Tools

The dev platform for the next 100 billion commits

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.; Namespace developer plan is pay-as-you-go only; minimum usage unclear
  • They diverge on capability: Fireworks AI covers Serverless inference, Namespace covers Devboxes.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

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

Attributes where Fireworks AI and Namespace differ
AttributeFireworks AINamespace
Pricing modelusage-basedUnknown
Platformsweb, apiCloud, Mac, Windows, Linux
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 Namespace

  • Devboxes
  • GitHub Actions runners
  • Docker builds
  • Cross-invocation caching
  • NVMe storage
  • High-speed networking
  • Multiple OS support
  • Bazel and Turborepo support

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

Namespace

  • Providing AI coding agents with cloud-based development environmentsnot Fireworks AI
  • Accelerating CI builds with faster GitHub Actions runnersnot Fireworks AI
  • Distributing builds across teams with managed infrastructurenot Fireworks AI
  • Scaling development velocity for monorepo organizationsnot 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.

Namespace

  • Developer plan is pay-as-you-go only; minimum usage unclear
  • Team plan $100/mo is competitive but usage limits may be tight
  • Devbox pricing separate at $0.004/minute could add up quickly
  • Enterprise plan requires custom sales conversation

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

Namespace

Free
  • DeveloperFree
    • Pay-as-you-go
    • On-demand compute
    • Docker builds
  • Team$100/month
    • 100,000 unit minutes
    • 1,000 Docker builds
    • Everything in Developer
  • Business$250/month
    • 250,000 unit minutes
    • 2,500 Docker builds
    • Everything in Team
  • Enterprise$undefined/custom
    • Custom compute/Docker build limits
    • Audit log export
    • Enterprise SSO

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 Namespace if

  • You need devboxes.
  • You want to start without paying.
  • You work on Cloud, Mac, Windows, Linux.
  • You also want github actions runners.
Namespace review

Questions people ask

Is Fireworks AI or Namespace better?
Neither clearly leads. Fireworks AI starts at Free and Namespace at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fireworks AI or Namespace?
Fireworks AI starts at Free and Namespace at Free.
Does Fireworks AI or Namespace run on more platforms?
Fireworks AI runs on web, api. Namespace runs on Cloud, Mac, Windows, Linux.
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 Namespace is typically brought in for.
What can Fireworks AI do that Namespace cannot?
Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility. Namespace covers Devboxes, GitHub Actions runners, Docker builds, Cross-invocation caching.

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
Namespace: How is compute usage metered on the Developer plan?

Developer plan uses pay-as-you-go billing. Devboxes bill at $0.004 per minute. Storage and caching services have separate usage-based fees. A 30-day free trial is available to test usage patterns.

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
Namespace: What is the difference between Team and Business plans?

Team ($100/mo) includes 100,000 unit minutes and 1,000 Docker builds with email support. Business ($250/mo) includes 250,000 unit minutes, 2,500 Docker builds, and high concurrency with a dedicated Slack channel.

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
Namespace: Can Namespace support AI coding agents?

Yes, Namespace Devboxes are specifically designed as feature-rich development environments for AI coding agents, with full tooling and performance optimization.

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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