Cloud · head to head
Fireworks AI vs Scaleway

Fireworks AI
Cloud
Fast inference and fine-tuning platform for open and custom AI models
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Fireworks AI reserved and enterprise-tier pricing is not published and requires sales contact.; Scaleway no free tier or trial period mentioned on homepage
- They diverge on capability: Fireworks AI covers Serverless inference, Scaleway covers Virtual Instances.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Fireworks AI and Scaleway actually diverge.
| Attribute | Fireworks AI | Scaleway |
|---|---|---|
| Platforms | web, api | Web, Api, Cli |
| Founded | Unknown | 1999 |
Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), user rating (Not yet rated), category (Cloud).
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 Scaleway
- Virtual Instances
- Bare Metal
- Kubernetes Kapsule
- Object Storage
- Serverless Functions
- Managed Databases
- Container Registry
- Load Balancer
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 Scaleway
- Fine-tuning models with LoRA or full-parameter trainingnot Scaleway
- Routing AI coding assistant traffic to cheaper models via Nexusnot Scaleway
- Reserving dedicated GPU capacity for production trafficnot Scaleway
Scaleway
- Web hostingnot Fireworks AI
- Container orchestrationnot Fireworks AI
- Development environmentsnot Fireworks AI
- Data storagenot 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.
Scaleway
- No free tier or trial period mentioned on homepage
- Specific pricing requires navigating to individual product category pages
- Base pricing starts at 4.99 EUR per month but varies significantly by service type
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
Scaleway
Free- DEV1-S$7.99/month
- 2 vCPU
- 2GB RAM
- 20GB SSD
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 Scaleway if
- You need virtual instances.
- You want to start without paying.
- You work on Web, Api, Cli.
- You also want bare metal.
Questions people ask
- Is Fireworks AI or Scaleway better?
- Neither clearly leads. Fireworks AI starts at Free and Scaleway at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fireworks AI or Scaleway?
- Fireworks AI starts at Free and Scaleway at Free.
- Does Fireworks AI or Scaleway run on more platforms?
- Fireworks AI runs on web, api. Scaleway runs on Web, Api, Cli.
- 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 Scaleway is typically brought in for.
- What can Fireworks AI do that Scaleway cannot?
- Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility. Scaleway covers Virtual Instances, Bare Metal, Kubernetes Kapsule, Object Storage.
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.
SourceScaleway: Does Scaleway have a free tier?
Scaleway does not mention a free tier or trial period on its pricing or homepage. Users must select specific services to see rates.
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.
SourceScaleway: What is Scaleway's pricing model?
Scaleway uses transparent, usage-based pricing that varies by service. Different categories (bare metal, compute, AI, storage, network) have separate pricing. Dedibox servers start at 4.99 EUR per month.
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.
SourceScaleway: How does Scaleway billing work?
Scaleway emphasizes transparent, predictable billing where customers know exactly what they'll pay. Users must select products and view pricing within each category.
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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