Cloud · head to head
Fireworks AI vs Vultr

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.; Vultr vultr Cloud Compute pricing as captured 31 December 2022 started at $5/month (1 vCPU, 1GB RAM, 25GB storage, 1TB transfer), scaling to $10/month and $20/month with more vCPU/RAM/storage; bandwidth overage billed at $0.01 to $0.05 per GB depending on plan
- They diverge on capability: Fireworks AI covers Serverless inference, Vultr covers Cloud servers.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Fireworks AI and Vultr actually diverge.
| Attribute | Fireworks AI | Vultr |
|---|---|---|
| Platforms | web, api | Web, Api, Cli |
| Founded | Unknown | 2014 |
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 Vultr
- Cloud servers
- Bare metal servers
- Block storage
- Object storage
- Load balancers
- Kubernetes
- Firewalls
- Private networks
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 Vultr
- Fine-tuning models with LoRA or full-parameter trainingnot Vultr
- Routing AI coding assistant traffic to cheaper models via Nexusnot Vultr
- Reserving dedicated GPU capacity for production trafficnot Vultr
Vultr
- High performance computingnot Fireworks AI
- Game serversnot Fireworks AI
- Streamingnot Fireworks AI
- Database hostingnot Fireworks AI
- Application serversnot 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.
Vultr
- Vultr Cloud Compute pricing as captured 31 December 2022 started at $5/month (1 vCPU, 1GB RAM, 25GB storage, 1TB transfer), scaling to $10/month and $20/month with more vCPU/RAM/storage; bandwidth overage billed at $0.01 to $0.05 per GB depending on plan
Pricing, plan by plan
Fireworks AI
Free- Serverless$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
Vultr
Free- Cloud Compute$2.5/month
- 512MB RAM
- 10GB SSD
- 500GB bandwidth
- Bare Metal$32/month
- Dedicated hardware
- High performance
- Full root access
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 Vultr if
- You need cloud servers.
- You want to start without paying.
- You work on Web, Api, Cli.
- You also want bare metal servers.
Questions people ask
- Is Fireworks AI or Vultr better?
- Neither clearly leads. Fireworks AI starts at Free and Vultr at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fireworks AI or Vultr?
- Fireworks AI starts at Free and Vultr at Free.
- Does Fireworks AI or Vultr run on more platforms?
- Fireworks AI runs on web, api. Vultr 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 Vultr is typically brought in for.
- What can Fireworks AI do that Vultr cannot?
- Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility. Vultr covers Cloud servers, Bare metal servers, Block storage, 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.
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.
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.
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
More on Fireworks AI
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- Vultr vs Jaeger
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- Vultr vs AWS (Amazon Web Services)
- Vultr vs Contabo
- Vultr vs DigitalOcean
- Vultr vs Grafana Cloud
- Vultr vs Scaleway
- Vultr vs Zeabur
- Vultr vs Encore
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