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Fireworks AI vs DeepInfra

Fireworks AI logo

Fireworks AI

Software

Fast inference and fine-tuning platform for open and custom AI models

From
Free
Rated
-
Full reviewWebsite
DeepInfra logo

DeepInfra

Software

Low-cost cloud API for running open-source AI models

From
$0.08/month
Rated
-
Full reviewWebsite

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.; DeepInfra focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.
  • They diverge on capability: Fireworks AI covers Serverless inference, DeepInfra covers Open model hosting.

Where they differ

Only the attributes on which Fireworks AI and DeepInfra actually diverge.

Attributes where Fireworks AI and DeepInfra differ
AttributeFireworks AIDeepInfra
Starting priceFree$0.08/month
Free tierYesNo

Identical on both: pricing model (usage-based), 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 DeepInfra

  • Open model hosting
  • Pay-per-token pricing
  • Long context support
  • DeepCluster
  • Zero retention policy
  • Real-time metrics

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 DeepInfra
  • Fine-tuning models with LoRA or full-parameter trainingnot DeepInfra
  • Routing AI coding assistant traffic to cheaper models via Nexusnot DeepInfra
  • Reserving dedicated GPU capacity for production trafficnot DeepInfra

DeepInfra

  • Running open-source LLM inference without managing GPUsnot Fireworks AI
  • Serving speech and image generation models via APInot Fireworks AI
  • Cost-sensitive production inference at scalenot Fireworks AI
  • Reserved GPU capacity via DeepCluster for steady workloadsnot 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.

DeepInfra

  • Focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.
  • Model selection is limited to what DeepInfra chooses to host, unlike self-managed platforms.
  • No published free tier; usage is billed from the first token.

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

DeepInfra

$0.08/month
  • Pay-as-you-go$undefined/mo
    • Per-model token pricing from $0.08 to $2.85 per million input tokens
    • No long-term contract
  • DeepCluster$1.98/month
    • Dedicated NVIDIA B300 GPU clusters at $1.98/GPU-hour

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.
Fireworks AI review

Choose DeepInfra if

  • You need open model hosting.
  • You work on web, api.
  • You also want pay-per-token pricing.
DeepInfra review

Questions people ask

Is Fireworks AI or DeepInfra better?
Neither clearly leads. Fireworks AI starts at Free and DeepInfra at $0.08/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fireworks AI or DeepInfra?
Fireworks AI has a free tier; the other does not. Paid plans start at Free for Fireworks AI and $0.08/month for DeepInfra.
Does Fireworks AI or DeepInfra 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?
Yes. Fireworks AI has a free tier, so you can try it without paying. DeepInfra starts at $0.08/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 DeepInfra is typically brought in for.
What can Fireworks AI do that DeepInfra cannot?
Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility. DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster.

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.

Source
DeepInfra: Is there a free tier on DeepInfra?

No free tier is published; usage is billed pay-as-you-go from the first token, though a credit card or pre-payment is required before you can send requests.

Source
Fireworks 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.

Source
DeepInfra: How is usage priced?

Language models are billed per million input/output tokens, other models by inference execution time, and audio models per minute of audio processed, with no minimum commitment.

Source
Fireworks 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.

Source
DeepInfra: What are the Standard, Priority, and Flex tiers?

Standard is default best-effort pricing at 1x, Priority costs 1.5x for faster time-to-first-token during peak demand, and Flex costs 0.8x for non-production or asynchronous workloads.

Source
Fireworks 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.

Source
DeepInfra: How does billing scale with spend?

Accounts advance through usage tiers as cumulative payments cross $20, $100, $500, $2,000, and $10,000 thresholds, with invoices generated monthly or at each threshold.

Source
Fireworks AI: Does region selection affect pricing?

Yes, region-restricted on-demand deployments carry a 1.5x premium over standard regional pricing.

Source
DeepInfra: Is there a limit on concurrent requests?

Yes, accounts are limited to 200 concurrent requests by default, though spending limits can also be configured to prevent unexpected charges.

Source
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