Software · head to head
Arize AI vs Fireworks AI

Arize AI
Software
AI engineering platform for observability and evaluation of agents and LLM apps
- From
- Free
- Rated
- -

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: Arize AI the free plan caps trace spans at 25,000 per month with only 15 days of retention.; Fireworks AI reserved and enterprise-tier pricing is not published and requires sales contact.
- They diverge on capability: Arize AI covers End-to-end tracing, Fireworks AI covers Serverless inference.
Where they differ
Only the attributes on which Arize AI and Fireworks AI actually diverge.
| Attribute | Arize AI | Fireworks AI |
|---|---|---|
| Pricing model | freemium | usage-based |
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 Arize AI
- End-to-end tracing
- Evaluation framework
- Prompt testing and improvement
- Alyx AI engineering agent
- Custom dashboards
- Data warehouse integrations
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.
Arize AI
- Tracing and debugging production AI agentsnot Fireworks AI
- Running large-scale evaluations across traces and sessionsnot Fireworks AI
- Improving prompts before production rolloutnot Fireworks AI
- Storing and querying GenAI traces alongside a data warehousenot Fireworks AI
Fireworks AI
- Deploying open-source LLMs behind an OpenAI-compatible APInot Arize AI
- Fine-tuning models with LoRA or full-parameter trainingnot Arize AI
- Routing AI coding assistant traffic to cheaper models via Nexusnot Arize AI
- Reserving dedicated GPU capacity for production trafficnot Arize AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Arize AI
- The free plan caps trace spans at 25,000 per month with only 15 days of retention.
- Self-hosted deployment and Data Fabric integration are restricted to the custom-priced Enterprise tier.
- Pricing beyond the $50/month Pro plan requires a custom quote, making cost planning less transparent at scale.
- Advanced compliance features like HIPAA are only available on Enterprise.
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
Arize AI
Free- AX FreeFree
- 25k trace spans/month
- 1 GB storage/month
- 15-day retention
- AX Pro$50/month
- 50k trace spans/month
- 10 GB storage/month
- 30-day retention
- AX Enterprise$undefined/mo
- Custom trace spans, storage, and retention
- SaaS or self-hosted deployment
- Managed agents and Data Fabric
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 Arize AI if
- You need end-to-end tracing.
- You want to start without paying.
- You work on web, api.
- You also want evaluation framework.
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 Arize AI or Fireworks AI better?
- Neither clearly leads. Arize AI 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, Arize AI or Fireworks AI?
- Arize AI starts at Free and Fireworks AI at Free.
- Does Arize AI or Fireworks AI run on more platforms?
- Both run on web, api, so platform support will not decide this one for you.
- Can I use Arize AI for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Arize AI best used for?
- Arize AI is most often used for tracing and debugging production ai agents, running large-scale evaluations across traces and sessions, improving prompts before production rollout, storing and querying genai traces alongside a data warehouse. Of those, tracing and debugging production ai agents and running large-scale evaluations across traces and sessions are not what Fireworks AI is typically brought in for.
- What can Arize AI do that Fireworks AI cannot?
- Arize AI covers End-to-end tracing, Evaluation framework, Prompt testing and improvement, Alyx AI engineering agent. Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility.
Answered from the vendors’ own pages
Arize AI: What does Arize AX cost?
Arize AX offers a free plan, a Pro plan at $50/month, and a custom-priced Enterprise plan, with pricing based on trace spans, storage, and retention needs.
SourceFireworks 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.
SourceArize AI: Is there a free plan, and what are its limits?
The AX Free plan includes 25,000 trace spans and 1 GB of storage per month with 15-day retention, plus unlimited users, evaluations, and experiments.
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.
SourceArize AI: What deployment options are available?
Free and Pro plans are SaaS-only, while Enterprise customers can choose SaaS or self-hosted deployment with custom SLAs.
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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