Software · head to head
Fireworks AI vs Neon

Fireworks AI
Software
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.; Neon compute pricing at $0.106-$0.222/CU-hour means costs scale directly with workload, unlike fixed-price alternatives
- They diverge on capability: Fireworks AI covers Serverless inference, Neon covers Serverless PostgreSQL.
Where they differ
Only the attributes on which Fireworks AI and Neon actually diverge.
| Attribute | Fireworks AI | Neon |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | web, api | Cloud |
| Founded | Unknown | 2021 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 Neon
- Serverless PostgreSQL
- Database Branching
- Autoscaling
- Bottomless Storage
- Point-in-time Recovery
- Connection Pooling
- Read Replicas
- Instant Cloning
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 Neon
- Fine-tuning models with LoRA or full-parameter trainingnot Neon
- Routing AI coding assistant traffic to cheaper models via Nexusnot Neon
- Reserving dedicated GPU capacity for production trafficnot Neon
Neon
- Serverless applicationsnot Fireworks AI
- Development databasesnot Fireworks AI
- Preview environmentsnot Fireworks AI
- Testingnot 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.
Neon
- Compute pricing at $0.106-$0.222/CU-hour means costs scale directly with workload, unlike fixed-price alternatives
- Separation of compute and storage may add complexity to cost prediction compared to all-in-one plans
Pricing, plan by plan
Fireworks AI
Free- Serverless$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
Neon
Free- FreeFree
- 100 CU-hours/month
- 0.5 GB storage
- 1 project
- Launch$15/month
- Pay-as-you-go compute
- $0.35/GB storage
- Multiple projects
- Scale$31/month
- Higher compute rates
- 99.95% SLA
- HIPAA compliance
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 Neon if
- You need serverless postgresql.
- You want to start without paying.
- You work on Cloud.
- You also want database branching.
Questions people ask
- Is Fireworks AI or Neon better?
- Neither clearly leads. Fireworks AI starts at Free and Neon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fireworks AI or Neon?
- Fireworks AI starts at Free and Neon at Free.
- Does Fireworks AI or Neon run on more platforms?
- Fireworks AI runs on web, api. Neon runs on Cloud.
- 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 Neon is typically brought in for.
- What can Fireworks AI do that Neon cannot?
- Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility. Neon covers Serverless PostgreSQL, Database Branching, Autoscaling, Bottomless 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.
SourceNeon: What is Neon and what makes it different?
Neon is a serverless PostgreSQL database that separates compute and storage, enabling automatic scaling and instant database branching. After acquisition by Databricks in May 2025, pricing has been significantly reduced.
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.
SourceNeon: Does Neon offer a free tier?
Yes, Neon's free tier includes 100 compute units per month and 0.5 GB of storage. This is suitable for development and small projects.
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.
SourceNeon: What are the paid plans and pricing for Neon?
Neon offers consumption-based pricing on Launch ($0.106/CU-hour, approximately $15/month) and Scale ($0.222/CU-hour, approximately $31/month) plans with separate storage billing at $0.35/GB-month. No monthly minimum required.
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.
SourceNeon: What features does Neon provide?
Neon includes git-like branching for database copies, point-in-time recovery, data anonymization for testing, managed authentication, serverless functions, and object storage that branches with projects.
SourceFireworks AI: Does region selection affect pricing?
Yes, region-restricted on-demand deployments carry a 1.5x premium over standard regional pricing.
SourceNeon: What compliance and reliability guarantees does Neon provide?
Neon's Scale tier offers 99.95% uptime SLA, HIPAA compliance, SOC2 certification, and private networking via PrivateLink at no extra cost.
SourceRelated pages
More on Fireworks AI
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