Developer Tools · head to head
Fig vs Fireworks AI
Fig
Developer Tools
IDE-style autocomplete for your existing terminal
- From
- Free
- Free plan
- Yes

Fireworks AI
Cloud
Fast inference and fine-tuning platform for open and custom AI models
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: Fig shut down on 1 September 2024. Amazon acquired Fig in August 2023 and folded it into Amazon Q Developer, which now carries the terminal autocomplete; Fireworks AI reserved and enterprise-tier pricing is not published and requires sales contact.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which Fig and Fireworks AI actually diverge.
| Attribute | Fig | Fireworks AI |
|---|---|---|
| Pricing model | freemium | usage-based |
| Platforms | Web | web, api |
| Category | Developer Tools | Cloud |
| Founded | 2020 | Unknown |
Identical on both: starting price (Free), free tier (Yes), 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 Fig
Nothing recorded that Fireworks AI does not also cover.
Only in Fireworks AI
- Serverless inference
- On-demand and reserved deployments
- Managed fine-tuning
- OpenAI/Anthropic API compatibility
- Nexus router
- Long context models
What people use each for
The jobs each tool is most often brought in to do.
Fig
No use cases recorded yet. See the Fig review.
Fireworks AI
- Deploying open-source LLMs behind an OpenAI-compatible APInot Fig
- Fine-tuning models with LoRA or full-parameter trainingnot Fig
- Routing AI coding assistant traffic to cheaper models via Nexusnot Fig
- Reserving dedicated GPU capacity for production trafficnot Fig
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Fig
- Shut down on 1 September 2024. Amazon acquired Fig in August 2023 and folded it into Amazon Q Developer, which now carries the terminal autocomplete
- The standalone desktop app is no longer available or supported
- The completion specs remain open source on GitHub, but the product that consumed them is gone
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.
Pricing, plan by plan
Fig
FreeNo published plan breakdown. See the Fig review.
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
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.
Questions people ask
- Is Fig or Fireworks AI better?
- Neither clearly leads. Fig starts at Free and Fireworks AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fig or Fireworks AI?
- Fig starts at Free and Fireworks AI at Free.
- Does Fig or Fireworks AI run on more platforms?
- Fig runs on Web. Fireworks AI runs on web, api.
- Can I use Fig for free?
- Both have a free tier, so you can try either at no cost before committing.
- What can Fig do that Fireworks AI 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.
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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