Software · head to head
Fireworks AI vs Helicone

Fireworks AI
Software
Fast inference and fine-tuning platform for open and custom AI models
- From
- Free
- Rated
- -
Helicone
Software
Open-source LLM observability and gateway platform for AI applications
- 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.; Helicone the free Hobby plan is capped at 10,000 requests per month, which teams with production traffic can exceed quickly.
- They diverge on capability: Fireworks AI covers Serverless inference, Helicone covers Request dashboard and tracking.
Where they differ
Only the attributes on which Fireworks AI and Helicone actually diverge.
| Attribute | Fireworks AI | Helicone |
|---|---|---|
| Pricing model | usage-based | freemium |
Identical on both: starting price (Free), free tier (Yes), platforms (web, api), 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 Helicone
- Request dashboard and tracking
- Sessions and segments
- Helicone Query Language (HQL)
- Prompt datasets and improvement
- Playground
- Rate limits and alerts
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 Helicone
- Fine-tuning models with LoRA or full-parameter trainingnot Helicone
- Routing AI coding assistant traffic to cheaper models via Nexusnot Helicone
- Reserving dedicated GPU capacity for production trafficnot Helicone
Helicone
- Monitoring cost and latency of production LLM applicationsnot Fireworks AI
- Debugging multi-step agent sessionsnot Fireworks AI
- Managing and iterating on prompts across a teamnot Fireworks AI
- Routing requests across multiple LLM providersnot 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.
Helicone
- The free Hobby plan is capped at 10,000 requests per month, which teams with production traffic can exceed quickly.
- Advanced compliance features like SOC 2 and HIPAA are only available starting at the $799/month Team plan.
- Usage beyond the free tier is billed on top of the base subscription, adding cost unpredictability at scale.
- On-premises deployment is restricted to the custom Enterprise tier.
Pricing, plan by plan
Fireworks AI
Free- Serverless$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
Helicone
Free- HobbyFree
- 10,000 free requests
- 1 GB storage
- 1 seat
- Pro$79/month
- 10K free requests included, usage-based beyond
- 7-day free trial
- Unlimited playgrounds and workspaces
- Team$799/month
- 5 organizations
- SOC 2 and HIPAA compliance
- Dedicated Slack channel access
- Enterprise$undefined/mo
- Custom MSAs and SAML SSO
- On-premises deployment
- Bulk cloud discounts
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 Helicone if
- You need request dashboard and tracking.
- You want to start without paying.
- You work on web, api.
- You also want sessions and segments.
Questions people ask
- Is Fireworks AI or Helicone better?
- Neither clearly leads. Fireworks AI starts at Free and Helicone at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fireworks AI or Helicone?
- Fireworks AI starts at Free and Helicone at Free.
- Does Fireworks AI or Helicone run on more platforms?
- Both run on web, api, so platform support will not decide this one for you.
- 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 Helicone is typically brought in for.
- What can Fireworks AI do that Helicone cannot?
- Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility. Helicone covers Request dashboard and tracking, Sessions and segments, Helicone Query Language (HQL), Prompt datasets and improvement.
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.
SourceHelicone: What does Helicone cost?
Helicone offers a free Hobby plan, a Pro plan at $79/month, a Team plan at $799/month, and custom Enterprise pricing, with usage-based charges applying beyond included request limits.
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.
SourceHelicone: Is there a free plan, and what are its limits?
The free Hobby plan includes 10,000 requests per month, 1 GB of storage, 1 seat, and 1 organization, aimed at kickstarting AI 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.
SourceHelicone: Are there discounts available?
Helicone offers 50% off the first year for qualifying startups, discounts for non-profits, a $100 annual credit for open-source projects, and free access for students.
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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