Cloud · head to head
Fireworks AI vs Sweep

Fireworks AI
Cloud
Fast inference and fine-tuning platform for open and custom AI models
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: Fireworks AI reserved and enterprise-tier pricing is not published and requires sales contact.; Sweep limited to JetBrains IDEs only, not available for VS Code or other editors
- They diverge on capability: Fireworks AI covers Serverless inference, Sweep covers Autocomplete.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which Fireworks AI and Sweep actually diverge.
| Attribute | Fireworks AI | Sweep |
|---|---|---|
| Pricing model | usage-based | Freemium with paid tiers |
| Platforms | web, api | JetBrains IDEs |
| Category | Cloud | Developer Tools |
| Founded | Unknown | 2023 |
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 Sweep
- Autocomplete
- AI Agent
- Full codebase indexing
- Code review functionality
- Multi-IDE support
- GitHub integration
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 Sweep
- Fine-tuning models with LoRA or full-parameter trainingnot Sweep
- Routing AI coding assistant traffic to cheaper models via Nexusnot Sweep
- Reserving dedicated GPU capacity for production trafficnot Sweep
Sweep
- Accelerating code completion for JetBrains developersnot Fireworks AI
- Automating refactoring tasks across codebasesnot Fireworks AI
- Handling bug fixes with full repository contextnot Fireworks AI
- Code review and quality assurancenot 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.
Sweep
- Limited to JetBrains IDEs only, not available for VS Code or other editors
- Free tier limited to 1,000 autocompletes per month
- API credit consumption varies by feature usage
- Performance dependent on codebase size and indexing quality
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
Sweep
Free- FreeFree
- 1,000 autocompletes
- 5 USD API credits included
- All JetBrains IDEs supported
- Pro$20/month
- Unlimited autocomplete
- Higher API credit allocation
- Priority support
- Ultra$60/month
- Unlimited autocomplete
- Maximum API credit allocation
- Extended context window
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 Sweep if
- You need autocomplete.
- You want to start without paying.
- You work on JetBrains IDEs.
- You also want ai agent.
Questions people ask
- Is Fireworks AI or Sweep better?
- Neither clearly leads. Fireworks AI starts at Free and Sweep at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fireworks AI or Sweep?
- Fireworks AI starts at Free and Sweep at Free.
- Does Fireworks AI or Sweep run on more platforms?
- Fireworks AI runs on web, api. Sweep runs on JetBrains IDEs.
- 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 Sweep is typically brought in for.
- What can Fireworks AI do that Sweep cannot?
- Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility. Sweep covers Autocomplete, AI Agent, Full codebase indexing, Code review functionality.
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.
SourceSweep: What programming languages does Sweep support?
Sweep works with all programming languages supported by JetBrains IDEs, including Python, Java, JavaScript, Go, Kotlin, C++, and many others.
SourceFireworks 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.
SourceSweep: Does Sweep retain my code data?
No. Sweep is SOC 2 Type II certified with zero data retention. Code is processed for suggestions but not stored.
SourceFireworks 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.
SourceSweep: Can I cancel my Sweep subscription anytime?
Yes. You can cancel your subscription at any time from your account settings with no long-term commitments or cancellation fees.
SourceFireworks 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.
SourceFireworks AI: Does region selection affect pricing?
Yes, region-restricted on-demand deployments carry a 1.5x premium over standard regional pricing.
SourceRelated pages
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- Sweep vs Octopus Deploy
- Sweep vs Okteto
- Sweep vs OpsLevel
- Sweep vs RubyMine
- Sweep vs Sourcegraph
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