The right model for every task. Try Nexus
Pricing

Pricing that scales
from idea to enterprise.

Start on pay-per-token, reserve throughput as you scale, or run Fireworks inside your own cloud. Explore Platform for systems and apps or Nexus for code and co-work.

Deploy on your terms.

Start on shared serverless capacity, guarantee it as traffic grows, or run Fireworks inside your cloud.

Serverless

Pay per token · From $0.05 / 1M input tokens

Call any serverless model in seconds. No commitment. Usage draws down prepaid credits.

Best for: Launching fast and spiky traffic

  • Standard, Priority, Fast, Batch and Spot modes
  • Cached input billed at half price or less, with no write fee
  • Monthly spend limits and Auto Reload

Commitment: No

Reserved Throughput

Reserve dollars per minute · Serverless rates, reserved by the minute

Guaranteed throughput on serverless and on-demand models, backed by an SLA.

Best for: Steady production traffic

  • Throughput SLA and 99.9% uptime terms
  • Adds to your adaptive rate limits
  • Usage above your reservation can bill at standard Serverless rates, never a penalty rate

Commitment: Yes

Fireworks Sovereign

Contract · Talk to us

Private preview for Enterprise

Fireworks-managed inference on GPUs in your cloud account or data center.

Best for: Data residency and existing GPU capacity

  • Inference and response handling stay inside your boundary
  • Achieve over 2x tokens per GPU dollar with our engine
  • Optional overflow to Fireworks-managed capacity

Commitment: Yes

Pick a model. Pick a mode.

Every serverless request bills on input, cached input and output tokens. Switch modes per request, on the same endpoint.

Standard

The default for most traffic.

Priority

Prioritize your traffic during peak load times.

Fast

100+ tokens per second for interactive apps.

Ultra-fast

New: Available for specific models, in preview. Talk to us.

Batch

50% off input and output for jobs that don’t need an immediate answer.

Spot

30% off Standard on best-effort capacity, available for select models only. Throughput can drop to zero, so retry or fall back to Standard.

Highlighted Serverless rates: Standard and Priority

USD per 1M tokens.

Highlighted Serverless rates, Standard and Priority (USD per 1M tokens)
ModelInputCached inputOutputPriority (input / cached / output)
Ember-1
$3.00
$0.30
$15.00
$3.75 / $0.375 / $18.75
Kimi K3
$3.00
$0.30
$15.00
$3.75 / $0.375 / $18.75
Qwen 3.8 Max
$2.00
$0.25
$6.00
$3.00 / $0.375 / $9.00
GLM 5.3
$1.40
$0.26
$4.40
$1.75 / $0.325 / $5.50
Muse Spark Open
$1.25
$0.15
$4.25
$1.875 / $0.225 / $6.375
NVIDIA Nemotron 3 Ultra (Preview)
$0.60
$0.12
$2.40
$0.75 / $0.15 / $3.00
DeepSeek V4.1 Flash
$0.30
$0.006
$1.20
$0.375 / $0.0075 / $1.50
DeepSeek V4.1 Flash 1017
$0.30
$0.006
$1.20
$0.375 / $0.0075 / $1.50
MiniMax M3
$0.30
$0.06
$1.20
$0.45 / $0.09 / $1.80
GLM 5.3 Flash
$0.15
$0.03
$0.50
$0.1875 / $0.0375 / $0.625
OpenAI GPT OSS 120B
$0.15
$0.015
$0.60
$0.18 / $0.018 / $0.72
NVIDIA Nemotron 3.5 Lightning 30B A3B
$0.05
$0.01
$0.20
$0.0625 / $0.0125 / $0.25

Spot rates

USD per 1M tokens.

US-only Serverless is available on select models at a 50% premium (waived on Muse Spark Open); see pricing here. Models not listed here are priced by size.

Spot rates (USD per 1M tokens)
ModelTierCached inputUncached inputOutput
GLM-5.3
Standard
$0.26
$1.40
$4.40
GLM-5.3
Spot
$0.182
$0.98
$3.08
Kimi K3
Standard
$0.30
$3.00
$15.00
Kimi K3
Spot
$0.21
$2.10
$10.50
DeepSeek V4.1 Flash
Standard
$0.006
$0.30
$1.20
DeepSeek V4.1 Flash
Spot
$0.0042
$0.21
$0.84
DeepSeek V4.1 Flash 1017
Standard
$0.006
$0.30
$1.20
DeepSeek V4.1 Flash 1017
Spot
$0.0042
$0.21
$0.84

Embeddings

Embeddings (USD per 1M input tokens)
Base modelPrice
Up to 150M parameters
$0.008
150M to 350M parameters
$0.016
Qwen3 8B
$0.10

Lower the cost of every finished task.

Token price is one input. Cache hits, the mode you choose and the model each turn goes to decide the rest.

Keep context cached

Session affinity keeps each agent on the server that already holds its context. Long runs reach cache hit rates up to 99.6%.

Batch what can wait

Async jobs run at half the Standard rate.

Send background work to Spot

Take 30% off for traffic that can retry or fall back

Route each turn

Send routine work to open models and save premium models for the turns that earn it.

One GPU rate card for serving and training.

On Demand bills per GPU-second and the Dedicated Training API per GPU-hour, from the same rates. No charge for On Demand start-up time.

GPU rates

Idle deployments scale to zero after one hour by default. Region-restricted deployments are priced at 1.5x. Reserve GPUs, typically for one year, for guaranteed capacity, higher quotas, lower hourly rates and early access to new regions and hardware.

GPU rates (USD)
GPUPer minutePer hour
H100 80 GB
$0.134
$8.00
H200 141 GB
$0.134
$8.00
B200 180 GB
$0.217
$13.00
B300 288 GB
$0.250
$15.00
GB300 288 GB
$0.334
$20.00

Buy the way you already buy.

Azure

Fireworks is a first-party provider in Microsoft Foundry, so usage counts toward your Microsoft Azure Consumption Commitment.

Volume

Discounts are available for bulk and prepaid purchases. Contracted customers can move to post-paid invoicing.

Control

Set monthly spend limits, and tag requests by team, project and environment for chargeback.

Security

Zero data retention by default. SOC 2 Type II, ISO 27001, 27701 and 42001, and HIPAA with a BAA.

Visit the trust center

FAQs

Questions we hear before the first invoice

How does billing work?

You buy credits, and usage draws them down: per token for Serverless, per GPU-second for On Demand, and per token or GPU-hour for training.

Can I cap what I spend?

Yes. Set a monthly spend limit on your account. Auto Reload is separate: it buys more credits when your balance runs low, so production keeps running, and it never raises your limit.

How is prompt caching billed?

Caching is automatic, with no setup and no write fee. Cached input bills at 50% off by default, with deeper discounts on select models.

What happens when we go over our reservation?

We customize inference to your needs. Usage above your reservation can bill at standard Serverless rates, never a penalty rate. Overage isn’t covered by the SLA and follows your Serverless rate limits.

When should we move from Serverless to On Demand?

When utilization is high, when rate limits get in your way, or when you want to serve a model that isn’t on Serverless, including one you trained. On Demand bills per GPU-second, so a busy deployment usually costs less per token.

Does serving a trained model cost extra?

No. You pay for the deployment by the GPU-second, plus the cost of the training job.

How is Fireworks Sovereign priced?

By contract. Sovereign is available in preview to Enterprise customers. Talk to us to scope your environment.

Questions? Talk to an expert today.

Get in touch to discuss your goals, workloads, and find the best deployment option for your business.