Cloud · head to head
Fireworks AI vs Poolside

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

Poolside
AI
Open-weight foundation models built for agentic software engineering
- From
- $0.06/month
- Free plan
- No
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.; Poolside no self-serve public application; access is largely through enterprise sales or third-party model gateways
- They diverge on capability: Fireworks AI covers Serverless inference, Poolside covers Laguna S 2.1.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which Fireworks AI and Poolside actually diverge.
| Attribute | Fireworks AI | Poolside |
|---|---|---|
| Starting price | Free | $0.06/month |
| Free tier | Yes | No |
| Platforms | web, api | web, api, mac, windows, linux |
| Category | Cloud | AI |
| Founded | Unknown | 2023 |
Identical on both: pricing model (usage-based), 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 Poolside
- Laguna S 2.1
- Laguna XS 2.1
- Desktop and CLI tools
- Open-weight models
- Third-party gateway access
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 Poolside
- Fine-tuning models with LoRA or full-parameter trainingnot Poolside
- Routing AI coding assistant traffic to cheaper models via Nexusnot Poolside
- Reserving dedicated GPU capacity for production trafficnot Poolside
Poolside
- Enterprises deploying AI coding assistance across large developer organizationsnot Fireworks AI
- Government and defense agencies needing on-premise or sovereign coding modelsnot Fireworks AI
- Teams building custom coding agents on open-weight foundation modelsnot Fireworks AI
- Organizations wanting on-device lightweight coding modelsnot 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.
Poolside
- No self-serve public application; access is largely through enterprise sales or third-party model gateways
- Pricing for the flagship enterprise and government offering is not public and requires a sales conversation
- Targets organizations with large (5,000+) developer headcounts, making it a poor fit for individuals or small teams
- Documentation and product surface area are thin compared to consumer-facing coding assistants
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
Poolside
$0.06/month- Laguna XS 2.1$undefined/month
- $0.06 per 1M input tokens
- $0.12 per 1M output tokens
- Available via OpenRouter and Vercel AI Gateway
- Laguna S 2.1$undefined/month
- $0.10 per 1M input tokens
- $0.20 per 1M output tokens
- 1M token context window
- Enterprise / Government$undefined/month
- Custom contracts for large engineering organizations
- Sales-quoted pricing
- On-premise or dedicated deployment options
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 Poolside if
- You need laguna s 2.1.
- You work on web, api, mac, windows, linux.
- You also want laguna xs 2.1.
Questions people ask
- Is Fireworks AI or Poolside better?
- Neither clearly leads. Fireworks AI starts at Free and Poolside at $0.06/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fireworks AI or Poolside?
- Fireworks AI has a free tier; the other does not. Paid plans start at Free for Fireworks AI and $0.06/month for Poolside.
- Does Fireworks AI or Poolside run on more platforms?
- Fireworks AI runs on web, api. Poolside runs on web, api, mac, windows, linux.
- Can I use Fireworks AI for free?
- Yes. Fireworks AI has a free tier, so you can try it without paying. Poolside starts at $0.06/month.
- 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 Poolside is typically brought in for.
- What can Fireworks AI do that Poolside cannot?
- Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility. Poolside covers Laguna S 2.1, Laguna XS 2.1, Desktop and CLI tools, Open-weight models.
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.
SourcePoolside: How is Poolside's Laguna model usage priced?
Laguna XS 2.1 is priced at $0.06 per 1M input tokens and $0.12 per 1M output tokens; Laguna S 2.1 is $0.10 per 1M input tokens and $0.20 per 1M output tokens.
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.
SourcePoolside: Where can I access Poolside's models?
Laguna models are available through third-party gateways OpenRouter and Vercel AI Gateway, as well as via Poolside's own desktop and CLI tools.
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.
SourcePoolside: Does Poolside offer enterprise or government pricing?
Yes, Poolside offers custom, sales-quoted contracts for large enterprises and government/defense customers, including on-premise or dedicated deployment options.
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.
SourcePoolside: How do I get started building with Poolside's models?
Poolside's documentation provides a quickstart guide for installing the `pool` CLI and running an agent task, alongside API documentation for custom integrations.
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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