What is the difference between Crusoe and Fireworks AI?

Crusoe and Fireworks AI are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Crusoe or Fireworks AI?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Crusoe and Fireworks AI?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

How many GPU models are available for comparison?

We track pricing for 8 different GPU models across both Crusoe and Fireworks AI, with 0 models available from both providers.

Crusoe vs Fireworks AI

Compare GPU and LLM inference API pricing between Crusoe and Fireworks AI. Find the best rates for AI training, inference, and ML workloads.

Crusoe

Provider 1

GPUs Available

Visit Website

Fireworks AI

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Crusoe GPUs

Fireworks AI GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 8Both available: 0Crusoe: 8Fireworks AI: 0

Showing 8 of 8 GPUs

Last updated: 10/25/2026, 7:06:32 PM

GPU Model ↑	Crusoe Price	Fireworks AI Price	Price Diff ↕	Sources
A100 PCIe 80GB 80GB VRAM • Crusoe	$2.00/hr★ Best	Not Available	—	Crusoe
A100 PCIe 80GB 80GB VRAM • Crusoe $2.00/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe
A100 SXM 80GB VRAM • Crusoe	$2.30/hr★ Best	Not Available	—	Crusoe
A100 SXM 80GB VRAM • Crusoe $2.30/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe
B200 180GB VRAM • Crusoe	$8.50/hr★ Best	Not Available	—	Crusoe
B200 180GB VRAM • Crusoe $8.50/hour Updated: 10/21/2026 ★Best Price Not Available Crusoe
H100 SXM 80GB VRAM • Crusoe	$3.90/hr★ Best	Not Available	—	Crusoe
H100 SXM 80GB VRAM • Crusoe $3.90/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe
H200 141GB VRAM • Crusoe	$4.29/hr★ Best	Not Available	—	Crusoe
H200 141GB VRAM • Crusoe $4.29/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe
HGX B300 288GB VRAM • Crusoe	$9.90/hr★ Best	Not Available	—	Crusoe
HGX B300 288GB VRAM • Crusoe $9.90/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe
L40S 48GB VRAM • Crusoe	$1.50/hr★ Best	Not Available	—	Crusoe
L40S 48GB VRAM • Crusoe $1.50/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe
MI300X 192GB VRAM • Crusoe	$3.45/hr★ Best	Not Available	—	Crusoe
MI300X 192GB VRAM • Crusoe $3.45/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe

A100 PCIe 80GB 80GB VRAM • Crusoe	$2.00/hr★ Best	Not Available	—	Crusoe
A100 PCIe 80GB 80GB VRAM • Crusoe $2.00/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe
A100 SXM 80GB VRAM • Crusoe	$2.30/hr★ Best	Not Available	—	Crusoe
A100 SXM 80GB VRAM • Crusoe $2.30/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe
B200 180GB VRAM • Crusoe	$8.50/hr★ Best	Not Available	—	Crusoe
B200 180GB VRAM • Crusoe $8.50/hour Updated: 10/21/2026 ★Best Price Not Available Crusoe
H100 SXM 80GB VRAM • Crusoe	$3.90/hr★ Best	Not Available	—	Crusoe
H100 SXM 80GB VRAM • Crusoe $3.90/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe
H200 141GB VRAM • Crusoe	$4.29/hr★ Best	Not Available	—	Crusoe
H200 141GB VRAM • Crusoe $4.29/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe
HGX B300 288GB VRAM • Crusoe	$9.90/hr★ Best	Not Available	—	Crusoe
HGX B300 288GB VRAM • Crusoe $9.90/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe
L40S 48GB VRAM • Crusoe	$1.50/hr★ Best	Not Available	—	Crusoe
L40S 48GB VRAM • Crusoe $1.50/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe
MI300X 192GB VRAM • Crusoe	$3.45/hr★ Best	Not Available	—	Crusoe
MI300X 192GB VRAM • Crusoe $3.45/hour Updated: 10/22/2026 ★Best Price Not Available Crusoe

LLM API Pricing Comparison

Total models: 11Both available: 3Crusoe: 10Fireworks AI: 4

Showing 11 of 11 models

Prices per 1M tokens · Last updated: 10/25/2026, 7:06:32 PM

Model ↑	Crusoe	Fireworks AI	Input Diff ↕
DeepSeek V4 Flash DeepSeek	$0.140 in $0.280 out	Not available	—
DeepSeek V4 Pro DeepSeek	$1.74 in $3.48 out	Not available	—
DeepSeek V4.1 Flash DeepSeek	$0.290 in $1.20 out	$0.300 in $1.20 out	$0.010
GLM-5.3 Z.ai	$1.40 in $4.40 out	$1.40 in $4.40 out	$0.0000
GLM-5.3-Flash Z.ai	$0.150 in $0.500 out	$0.150 in $0.500 out	$0.0000
MiniMax-M3.1-Flash MiniMax	Not available	$0.150 in $0.600 out	—
Nemotron 3 Nano 30B NVIDIA	$0.050 in $0.200 out	Not available	—
Nemotron 3 Super 120B NVIDIA	$0.300 in $2.40 out	Not available	—
Nemotron 3.5 Lightning NVIDIA	$0.050 in $0.200 out	Not available	—
Nemotron 3.5 Super VL NVIDIA	$0.100 in $0.400 out	Not available	—
Qwen 3 235B Alibaba	$0.220 in $0.800 out	Not available	—

Features Comparison

Crusoe

Energy-First Infrastructure
Vertically integrated power sourcing across wind, solar, hydropower, geothermal, natural gas, and carbon capture
Fast Spin Up
Machines are deployed quickly when they are launched
Persistent Storage
Persistent and shared disks, object storage, and a container registry for AI datasets
SXM Support
Provides instances with NVIDIA SXM GPU interconnects
SLA Guarantee
99.5% uptime commitment backed by 24/7 enterprise-grade support
Managed Inference
LLM inference with up to 9.9x faster time-to-first-token and 5x higher throughput versus vLLM

Fireworks AI

100+ Open-Source Models
Text, vision, audio, image, and embedding models, including recent releases such as Kimi K3, GLM 5.2, DeepSeek V4, MiniMax M3, and Qwen3.7 Plus
Blazing Fast Inference
Industry-leading throughput and latency with fast inference engine
Fine-Tuning Suite
SFT, DPO, and reinforcement fine-tuning of models up to 1T+ parameters, from guided runs through writing your own trainer and RL loop
OpenAI- and Anthropic-Compatible API
Drop-in replacement for closed-model APIs - change the base URL to migrate, with the same SFT data format for fine-tuning
On-Demand GPUs
H100, H200, B200, B300, and GB300 deployments with per-second billing and autoscaling
Batch Processing
Async bulk inference jobs run at scale for less than standard serverless requests

Pros & Cons

Crusoe

Advantages

Great GPU availability for on-demand use
Published hourly on-demand rates for most GPU types
Renewable and low-carbon energy sourcing with vertical integration from power to cloud
99.5% uptime commitment with 24/7 enterprise support

Considerations

Contact sales required for newest GPU models (GB200, B200, MI355X)
Spot capacity is quoted by sales rather than published as a self-service rate
Data center footprint concentrated in the United States with limited European capacity

Fireworks AI

Advantages

Lightning-fast inference with industry-leading response times
Easy-to-use API with OpenAI and Anthropic compatibility
Wide variety of optimized open-source models
Discounted pricing for cached tokens and batch inference

Considerations

Limited capacity with some serverless model limits
Primarily focused on language models over image/video generation
BYOC only available for major enterprise customers

Compute Services

Crusoe

GPU Instances

High-performance GPU instances powered by NVIDIA GPUs

CPU Instances

General-purpose and storage-optimized CPU instances for data processing

Managed Inference

Fully managed LLM inference spanning serverless, self-serve dedicated, and tailored deployments

Open models including DeepSeek V4, GLM 5.2, Kimi K2.6, Llama 3.3, Gemma 4, Qwen3, GPT-OSS, and Nemotron 3
Serverless Inference billed per million input, output, and cached tokens

Fireworks AI

Pricing Options

Crusoe

On-Demand Instances

Pay by the hour for maximum agility and unthrottled compute

Spot Instances

Use spare capacity at significant discounts compared to on-demand pricing

Reserved Instances

Lock in guaranteed resources at lowest rates with custom commitments

Pay-as-you-go Inference

Flexible pricing for LLM inference based on token usage

Provisioned Throughput

Guaranteed inference capacity with AI Model Units, priced lower for longer commitments

Dedicated Inference Deployments

Hourly per-GPU pricing for self-serve dedicated endpoints, with monthly and volume rates via sales

Serverless Fine-Tuning

Per-token pricing tiered by the parameter count of the base model being tuned

Fireworks AI

Serverless Inference

Pay-per-token pricing across Standard, Priority, and Fast serverless tiers with postpaid billing and no cold starts

Cached tokens

Cached input tokens billed at a reduced rate on supported models

Batch processing

Async bulk inference billed at a discount to standard serverless requests

Embeddings

Embedding models billed per 1M input tokens, tiered by model parameter count

Fine Tuning

Supervised and preference fine tuning billed per 1M training tokens with LoRA or full-parameter options; reinforcement fine tuning billed per GPU hour

Serverless Training API

Shared always-on trainer pool for LoRA training with no provisioning or idle cost, billed per token prefilled, sampled, and trained

On-demand GPUs

Per-second billing for H100, H200, B200, B300, and GB300 GPU deployments with no start-up charges; region-restricted deployments in the US or Europe are priced at 1.25x the standard rate

Reserved capacity

Guaranteed capacity with higher rate limits and earliest access to new hardware, arranged through sales

Getting Started

Crusoe

Get Started

1
Create an account
Sign up for Crusoe Cloud services through their website
2
Select GPU instance
Choose from available GPU types including L40S, A100, H100, H200, B200, GB200, and AMD options
3
Configure storage
Set up persistent storage options for your workloads
4
Launch instance
Deploy via the console, or provision programmatically with the Crusoe CLI or Terraform

Fireworks AI

Get Started

1
Explore Model Library
Browse 100+ models at fireworks.ai/models
2
Test in Playground
Experiment with prompts interactively without coding
3
Generate API Key
Create an API key from user settings in your account
4
Make first API call
Use OpenAI-compatible endpoints or Fireworks SDK
5
Scale to production
Transition to on-demand GPU deployments for production workloads

Support & Global Availability

Crusoe

Global Regions

Data centers sited near low-cost energy in the United States, including a large-scale campus in Abilene, Texas, plus European capacity in Iceland and Norway

Support

Documentation, learning hub, and 24/7 enterprise-grade support with a 99.5% uptime commitment; SOC 2, ISO 27001, and ISO 42001 certifications

Fireworks AI

Global Regions

18+ global regions across 8 cloud providers with multi-region deployments and BYOC support for enterprise

Support

Documentation, Discord community, status page, email support, and dedicated enterprise support with SLAs