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Cloud · head to head

Fireworks AI vs Sourcegraph

Fireworks AI logo

Fireworks AI

Cloud

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

From
Free
Free plan
Yes
Sourcegraph logo

Sourcegraph

Developer Tools

Code search and intelligence platform for large codebases with Cody AI assistant

From
$16000/year
Free plan
No

The short version

  • Only Fireworks AI has a free tier, so it costs nothing to try first.
  • Each has a real cost: Fireworks AI reserved and enterprise-tier pricing is not published and requires sales contact.; Sourcegraph enterprise pricing starting at $16k annually creates significant barrier for small teams
  • Prices and features above were last checked on 29 August 2026.

Where they differ

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

Attributes where Fireworks AI and Sourcegraph differ
AttributeFireworks AISourcegraph
Starting priceFree$16000/year
Pricing modelusage-basedsubscription
Free tierYesNo
Platformsweb, apiCloud, Self-hosted
CategoryCloudDeveloper Tools

Identical on both: 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 Sourcegraph

Nothing recorded that Fireworks AI does not also cover.

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

Sourcegraph

  • Large-scale code migrations across hundreds of repositoriesnot Fireworks AI
  • Enterprise governance and code ownership trackingnot Fireworks AI
  • AI-assisted bug hunting and security pattern detectionnot Fireworks AI
  • Onboarding engineers into large unfamiliar codebasesnot Fireworks AI
  • Regulatory compliance and code audit trailsnot 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.

Sourcegraph

  • Enterprise pricing starting at $16k annually creates significant barrier for small teams
  • No free tier or standard plan published; all options require custom sales engagement
  • Complex enterprise-only positioning limits adoption compared to GitHub Copilot's pervasiveness
  • Requires indexing entire codebase; not suitable for small or ephemeral projects

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

Sourcegraph

$16000/year
  • Enterprise$16000/year
    • Scales with team size
    • Credits for AI features per user
    • Deep Search

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.

Choose Sourcegraph if

  • You work on Cloud, Self-hosted.

Questions people ask

Is Fireworks AI or Sourcegraph better?
Neither clearly leads. Fireworks AI starts at Free and Sourcegraph at $16000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fireworks AI or Sourcegraph?
Fireworks AI has a free tier; the other does not. Paid plans start at Free for Fireworks AI and $16000/year for Sourcegraph.
Does Fireworks AI or Sourcegraph run on more platforms?
Fireworks AI runs on web, api. Sourcegraph runs on Cloud, Self-hosted.
Can I use Fireworks AI for free?
Yes. Fireworks AI has a free tier, so you can try it without paying. Sourcegraph starts at $16000/year.
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 Sourcegraph is typically brought in for.
What can Fireworks AI do that Sourcegraph cannot?
Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility.

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
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
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
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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