What is the difference between Bentaus and Lyceum?

Bentaus and Lyceum 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: Bentaus or Lyceum?

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 Bentaus and Lyceum?

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 6 different GPU models across both Bentaus and Lyceum, with 0 models available from both providers.

Bentaus vs Lyceum

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

Bentaus

Provider 1

GPUs Available

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Lyceum

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Bentaus GPUs

Lyceum GPUs

Direct Comparisons

Average Price Difference: $1.24/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 6Both available: 1Bentaus: 1Lyceum: 6

Showing 6 of 6 GPUs

Last updated: 10/31/2026, 4:50:24 AM

GPU Model ↑	Bentaus Price	Lyceum Price	Price Diff ↕	Sources
A100 SXM 80GB VRAM • Lyceum	Not Available	$1.19/hr★ Best	—	Lyceum
A100 SXM 80GB VRAM • Not Available Lyceum $1.19/hour Updated: 10/26/2026 ★Best Price Lyceum
B200 180GB VRAM • Lyceum	Not Available	$4.49/hr★ Best	—	Lyceum
B200 180GB VRAM • Not Available Lyceum $4.49/hour Updated: 10/26/2026 ★Best Price Lyceum
H100 SXM 80GB VRAM • Lyceum	Not Available	$2.39/hr★ Best	—	Lyceum
H100 SXM 80GB VRAM • Not Available Lyceum $2.39/hour Updated: 10/26/2026 ★Best Price Lyceum
H200 141GB VRAM • Lyceum	Not Available	$3.09/hr★ Best	—	Lyceum
H200 141GB VRAM • Not Available Lyceum $3.09/hour Updated: 10/26/2026 ★Best Price Lyceum
HGX B300 288GB VRAM • BentausLyceum	$4.35/hr★ Best 8x GPU	$5.59/hr	↓$1.24(22.2%)	Bentaus Lyceum
HGX B300 288GB VRAM • Bentaus $4.35/hour 8x GPU configuration Updated: 10/30/2026 ★Best Price Lyceum $5.59/hour Updated: 10/26/2026 Price Difference:↓$1.24(22.2%) Bentaus Lyceum
L40S 48GB VRAM • Lyceum	Not Available	$1.99/hr★ Best	—	Lyceum
L40S 48GB VRAM • Not Available Lyceum $1.99/hour Updated: 10/28/2026 ★Best Price Lyceum

A100 SXM 80GB VRAM • Lyceum	Not Available	$1.19/hr★ Best	—	Lyceum
A100 SXM 80GB VRAM • Not Available Lyceum $1.19/hour Updated: 10/26/2026 ★Best Price Lyceum
B200 180GB VRAM • Lyceum	Not Available	$4.49/hr★ Best	—	Lyceum
B200 180GB VRAM • Not Available Lyceum $4.49/hour Updated: 10/26/2026 ★Best Price Lyceum
H100 SXM 80GB VRAM • Lyceum	Not Available	$2.39/hr★ Best	—	Lyceum
H100 SXM 80GB VRAM • Not Available Lyceum $2.39/hour Updated: 10/26/2026 ★Best Price Lyceum
H200 141GB VRAM • Lyceum	Not Available	$3.09/hr★ Best	—	Lyceum
H200 141GB VRAM • Not Available Lyceum $3.09/hour Updated: 10/26/2026 ★Best Price Lyceum
HGX B300 288GB VRAM • BentausLyceum	$4.35/hr★ Best 8x GPU	$5.59/hr	↓$1.24(22.2%)	Bentaus Lyceum
HGX B300 288GB VRAM • Bentaus $4.35/hour 8x GPU configuration Updated: 10/30/2026 ★Best Price Lyceum $5.59/hour Updated: 10/26/2026 Price Difference:↓$1.24(22.2%) Bentaus Lyceum
L40S 48GB VRAM • Lyceum	Not Available	$1.99/hr★ Best	—	Lyceum
L40S 48GB VRAM • Not Available Lyceum $1.99/hour Updated: 10/28/2026 ★Best Price Lyceum

LLM API Pricing Comparison

Total models: 12Both available: 0Bentaus: 0Lyceum: 12

Showing 12 of 12 models

Prices per 1M tokens · Last updated: 10/31/2026, 4:50:24 AM

Model ↑	Bentaus	Lyceum	Input Diff ↕
DeepSeek V4 Flash DeepSeek	Not available	$0.250 in $0.300 out	—
DeepSeek V4 Pro DeepSeek	Not available	$2.00 in $4.00 out	—
DeepSeek V4.1 Flash DeepSeek	Not available	$0.500 in $1.50 out	—
GLM-5.2 Z.ai	Not available	$1.50 in $4.50 out	—
GLM-5.3 Z.ai	Not available	$1.40 in $4.40 out	—
GLM-5.3-Flash Z.ai	Not available	$0.200 in $0.500 out	—
Kimi K2.7 Code Moonshot AI	Not available	$1.25 in $4.50 out	—
Kimi K3 Moonshot AI	Not available	$3.00 in $15.00 out	—
MiniMax-M3 MiniMax	Not available	$0.400 in $2.00 out	—
Qwen3.8 2.4T A95B Alibaba	Not available	$2.50 in $6.00 out	—
Qwen3.8 27B Alibaba	Not available	$0.400 in $2.40 out	—
Qwen3.8-Flash-Next Alibaba	Not available	$0.200 in $0.500 out	—

Features Comparison

Bentaus

HGX B300 nodes
Eight-GPU NVIDIA HGX B300 (Blackwell Ultra) nodes with 288 GB HBM3e per GPU, NVLink within the node and 400G InfiniBand between nodes
Owned energy infrastructure
Capacity is deployed on power infrastructure Bentaus develops and operates itself, including generation, battery backup and liquid-cooled facilities
Ziani orchestration
Proprietary software that coordinates compute, power and energy assets in real time, letting GPU load respond to grid signals while keeping workload SLAs
Sales-assisted provisioning
Every order goes through an ordering form and a solutions architect; there is no instant single-GPU deployment
Dedicated AI factories
Fully isolated clusters designed to the customer's specification, with monitoring, support and SLAs, under a custom contract

Lyceum

Serverless Inference
API access to open-source models with pay-per-token pricing.
Dedicated Endpoints
Reserved GPU capacity for production models ensuring low latency and high availability.
Serverless Training
Run training jobs on GPUs without the need for infrastructure management.
GPU Virtual Machines
Full root access to customizable GPU instances ready in seconds.
Large-Scale Clusters
Support for configurations from 8 to 8,000 GPUs with InfiniBand connectivity.
OpenAI-Compatible API
Serverless models are served through an OpenAI-compatible endpoint, so existing OpenAI SDK code works by changing the base URL and API key.

Pros & Cons

Bentaus

Advantages

Published per-GPU-hour price ranges for both on-demand and reserved B300 capacity, which most node-scale providers keep quote-only
Reserved capacity is described as guaranteed, non-interruptible and rate-locked for the term
Vertically integrated: the same company owns the power, the facility and the GPUs
Capacity advertised as available now rather than on a waitlist

Considerations

Minimum order is one eight-GPU node, so the hourly floor is eight times the per-GPU rate; there is no single-GPU option
Provisioning is sales-assisted through a solutions architect, not self-service or instant
Regions, billing increment, minimum rental duration and reserved term lengths are not disclosed

Lyceum

Advantages

Instant availability of GPUs with minimal provisioning time.
No capacity planning or vendor lock-in required.
Complies with EU data residency requirements.

Considerations

Dedicated endpoint and reserved capacity pricing is agreed per contract rather than published.
Spot GPUs can be reclaimed, and not every GPU type is offered as spot.
Data centres are in Europe only.

Compute Services

Bentaus

GPU-as-a-Service

HGX B300 nodes sold by the GPU-hour in eight-GPU node increments

On-demand capacity for burst inference and training
Reserved capacity with priority access and a locked rate

AI Factory

Dedicated, fully isolated GPU clusters designed to the customer's specification

Full cluster isolation
Monitoring, support and SLAs

Lyceum

Pricing Options

Bentaus

On-demand

Per-GPU-hour pricing published as a range, sold in eight-GPU node increments and provisioned through sales; the low end is a starting rate

Reserved

Lower per-GPU-hour range with guaranteed capacity, priority access and a rate locked for a custom term length agreed with sales

AI Factory

Custom contract pricing for a dedicated, isolated cluster; no published rate

Lyceum

Serverless inference

Billed per token for input, cached input and output, with no base fee

Prompt caching

Repeated prompt prefixes still in GPU memory are billed at the cached input rate where listed

On-demand GPUs

Billed per second with no subscription

Spot GPUs

About 45% less than on-demand; capacity can be reclaimed

Reserved GPUs, clusters and dedicated endpoints

Commitment pricing agreed per contract, including multi-year reserved blocks

Getting Started

Bentaus

Get Started

1
Size the deployment
Use the ordering form on the B300 page to state how many eight-GPU nodes you need, your workload type, timeline and whether you want on-demand, reserved or a custom environment
2
Talk to a solutions architect
A Bentaus solutions architect follows up to confirm configuration, term and pricing within the published range
3
Deploy
On-demand and reserved nodes are provisioned on Bentaus-operated infrastructure; AI factory clusters are designed and built to the agreed specification

Lyceum

Get Started

1
Sign Up
Create an account on the Lyceum platform.
2
Choose a Service
Select between inference, training, or virtual machine options.
3
Deploy a Model or Job
Use provided API or CLI instructions to submit your workload.
4
Monitor Usage
Utilize dashboard features to track resource usage and performance.
5
Seek Support if Needed
Contact the sales or support team for assistance.

Support & Global Availability

Bentaus

Global Regions

Not disclosed; Bentaus operates on US grid infrastructure and its demand-response deployments have been in ERCOT (Texas)

Support

Solutions architect assigned per order; AI factory clusters include monitoring, support and SLAs. Enquiries via the contact page.

Lyceum

Global Regions

European data centres; serverless models run in Paris and Finland, while dedicated and VM locations are agreed per contract

Support

Email support for all customers; business customers also get a shared Slack channel and agreed response times.