Cloud · head to head
Fireworks AI vs Ivanti

Fireworks AI
Cloud
Fast inference and fine-tuning platform for open and custom AI models
- From
- Free
- Rated
- -

Ivanti
Networking
Security, service management, and unified endpoint management
- From
- On request
- Rated
- -
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.; Ivanti no pricing information published - enterprise custom pricing required
Where they differ
Only the attributes on which Fireworks AI and Ivanti actually diverge.
| Attribute | Fireworks AI | Ivanti |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | quote |
| Free tier | Yes | No |
| Platforms | web, api | Web |
| Category | Cloud | Networking |
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 Ivanti
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 Ivanti
- Fine-tuning models with LoRA or full-parameter trainingnot Ivanti
- Routing AI coding assistant traffic to cheaper models via Nexusnot Ivanti
- Reserving dedicated GPU capacity for production trafficnot Ivanti
Ivanti
- Controlling device compliance and patches for remote workforcesnot Fireworks AI
- Automating service ticketing and change processes at enterprise scalenot Fireworks AI
- Enforcing device compliance before network access in regulated industriesnot Fireworks AI
- Prioritizing vulnerability patches by risk levelnot Fireworks AI
- Enabling passwordless zero-trust access without VPN infrastructurenot 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.
Ivanti
- no pricing information published - enterprise custom pricing required
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
Ivanti
On requestNo published plan breakdown. See the Ivanti review.
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 Ivanti if
Nothing in the data separates Ivanti from Fireworks AI on the points above - pick on price and on how each one feels to use.
Questions people ask
- Is Fireworks AI or Ivanti better?
- Neither clearly leads. Fireworks AI starts at Free and Ivanti at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fireworks AI or Ivanti?
- Fireworks AI has a free tier; the other does not. Paid plans start at Free for Fireworks AI and On request for Ivanti.
- Does Fireworks AI or Ivanti run on more platforms?
- Fireworks AI runs on web, api. Ivanti runs on Web.
- Can I use Fireworks AI for free?
- Yes. Fireworks AI has a free tier, so you can try it without paying. Ivanti starts at On request.
- 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 Ivanti is typically brought in for.
- What can Fireworks AI do that Ivanti 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.
SourceIvanti: How much does Ivanti cost?
Ivanti does not publish pricing on their website. As an enterprise solution, pricing is customized based on organizational needs. Contact Ivanti through their website to request a demo and pricing information.
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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