What is the difference between Crusoe and Prime Intellect?

Crusoe and Prime Intellect 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 Prime Intellect?

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 Prime Intellect?

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 Prime Intellect, with 0 models available from both providers.

Crusoe vs Prime Intellect

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

Crusoe

Provider 1

GPUs Available

Visit Website

Prime Intellect

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Crusoe GPUs

Prime Intellect GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 8Both available: 0Crusoe: 8Prime Intellect: 0

Showing 8 of 8 GPUs

Last updated: 10/24/2026, 11:57:13 AM

GPU Model ↑	Crusoe Price	Prime Intellect 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: 110Both available: 7Crusoe: 10Prime Intellect: 107

Showing 15 of 110 models

Prices per 1M tokens · Last updated: 10/24/2026, 11:57:13 AM

Model ↑	Crusoe	Prime Intellect	Input Diff ↕
Claude Fable 5 Anthropic	Not available	$10.00 in $50.00 out	—
Claude Fable 5.1 Anthropic	Not available	$10.00 in $50.00 out	—
Claude Haiku 4.5 Anthropic	Not available	$1.00 in $5.00 out	—
Claude Opus 4.1 Anthropic	Not available	$15.00 in $75.00 out	—
Claude Opus 4.5 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Opus 4.6 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Opus 4.7 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Opus 4.8 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Opus 5 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Opus 5.5 Anthropic	Not available	$4.00 in $20.00 out	—
Claude Sonnet 4.5 Anthropic	Not available	$3.00 in $15.00 out	—
Claude Sonnet 4.6 Anthropic	Not available	$3.00 in $15.00 out	—
Claude Sonnet 5 Anthropic	Not available	$2.00 in $10.00 out	—
Claude Sonnet 5.5 Anthropic	Not available	$2.00 in $10.00 out	—
DeepSeek V3.1 DeepSeek	Not available	$0.600 in $1.70 out	—

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

Prime Intellect

Multi-provider GPU access
On-demand access to 1 to 256 GPUs sourced from many clouds, managed from one dashboard, CLI, and API
Reserved clusters
Large-cluster requests sent to 50+ data centers for parallel quotes, from H100 and H200 to B200, B300, and GB300 NVL72
Prime Intellect Inference
OpenAI-compatible API for hosted open-weight models and gateway access to OpenAI, Anthropic, Google, xAI, and other model families, billed per token
Hosted RL training
Lab runs reinforcement-learning post-training against environments from the Environments Hub, with LoRA adapters deployable for inference
Orchestration and networking
SLURM and Kubernetes orchestration, InfiniBand networking, and Grafana monitoring for clusters
Spot resale
Idle reserved nodes can be put on Prime Intellect's spot market

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

Prime Intellect

Advantages

One account for GPUs across many underlying providers
Per-token inference rates are published through a public models endpoint
Inference, training, and GPU rental on the same platform
Publishes open-source models, datasets, and RL tooling

Considerations

GPU rates are only available after sign-in through the availability API, so they are not tracked here
As an aggregator, hardware, networking, and support depend on the underlying provider
Gateway models are routed to other inference providers rather than served on Prime Intellect's own hardware

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

Prime Intellect

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

Prime Intellect

On-demand GPUs

Hourly rates set per underlying provider, with community and spot tiers where available

Reserved clusters

Quoted per request from participating data centers

Per token

Inference billed per 1M input and output tokens, with cached-input rates on hosted models

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

Prime Intellect

Get Started

1
Create an account
Sign up at app.primeintellect.ai
2
Rent GPUs
Pick a GPU type, count, and provider from the availability list, then provision from the dashboard or the prime CLI
3
Call the inference API
Create an API key and point an OpenAI-compatible client at api.pinference.ai

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

Prime Intellect

Support

Documentation, plus direct assistance from the research and infrastructure engineering team and a dedicated solutions engineer for reserved-cluster customers