What is the difference between EcoHash and Lyceum?

EcoHash 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: EcoHash 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 EcoHash 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 7 different GPU models across both EcoHash and Lyceum, with 0 models available from both providers.

EcoHash vs Lyceum

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

EcoHash

Provider 1

GPUs Available

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Lyceum

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

EcoHash GPUs

Lyceum GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 7Both available: 0EcoHash: 1Lyceum: 6

Showing 7 of 7 GPUs

Last updated: 10/31/2026, 4:50:26 AM

GPU Model ↑	EcoHash 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 • Lyceum	Not Available	$5.59/hr★ Best	—	Lyceum
HGX B300 288GB VRAM • Not Available Lyceum $5.59/hour Updated: 10/26/2026 ★Best Price 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
RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/30/2026 ★Best Price Not Available EcoHash

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 • Lyceum	Not Available	$5.59/hr★ Best	—	Lyceum
HGX B300 288GB VRAM • Not Available Lyceum $5.59/hour Updated: 10/26/2026 ★Best Price 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
RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/30/2026 ★Best Price Not Available EcoHash

LLM API Pricing Comparison

Total models: 17Both available: 6EcoHash: 11Lyceum: 12

Showing 15 of 17 models

Prices per 1M tokens · Last updated: 10/31/2026, 4:50:26 AM

Model ↑	EcoHash	Lyceum	Input Diff ↕
DeepSeek V4 Flash DeepSeek	Not available	$0.250 in $0.300 out	—
DeepSeek V4 Pro DeepSeek	$0.910 in $2.72 out	$2.00 in $4.00 out	$1.09
DeepSeek V4.1 Flash DeepSeek	Not available	$0.500 in $1.50 out	—
GLM-5.2 Z.ai	$1.00 in $3.00 out	$1.50 in $4.50 out	$0.500
GLM-5.3 Z.ai	$1.25 in $4.30 out	$1.40 in $4.40 out	$0.150
GLM-5.3-Flash Z.ai	Not available	$0.200 in $0.500 out	—
GPT-OSS-20B OpenAI	$0.050 in $0.200 out	Not available	—
Kimi K2.7 Code Moonshot AI	Not available	$1.25 in $4.50 out	—
Kimi K3 Moonshot AI	$2.00 in $12.00 out	$3.00 in $15.00 out	$1.00
Llama 3.1 8B Meta	$0.100 in $0.100 out	Not available	—
MiniMax-M3 MiniMax	$0.200 in $0.900 out	$0.400 in $2.00 out	$0.200
Qwen 3.8 Flash Alibaba	$0.090 in $0.370 out	Not available	—
Qwen 3.8 Max Alibaba	$1.90 in $5.70 out	Not available	—
Qwen3.8 2.4T A95B Alibaba	Not available	$2.50 in $6.00 out	—
Qwen3.8 27B Alibaba	$0.300 in $0.600 out	$0.400 in $2.40 out	$0.100

Features Comparison

EcoHash

RTX PRO 6000 GPU Instances
Containerized Linux instances with 1, 2, 4 or 8 RTX PRO 6000 GPUs, with root access, SSH, a browser terminal and Jupyter.
GPU Clusters
Clusters of 2–8 identical replicas launched as one unit.
Per-Second Billing
GPU instances are billed per second of running time at one per-GPU rate across instance, dedicated-inference and cluster workloads.
OpenAI-Compatible Inference API
Pay-per-token access to platform models for chat, embeddings, reranking, image generation, speech-to-text, text-to-speech, voice cloning and video generation at api.ecohash.com.
Dedicated Inference
Deploy a Hugging Face or registered model as a managed endpoint called through the same API and key.
Managed Fine-Tuning
LoRA/QLoRA fine-tuning jobs on 1, 2 or 4 GPUs, billed per minute, with a dataset registry that validates JSONL before any GPU is booked.

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

EcoHash

Advantages

Per-second billing with a single per-GPU rate across instance sizes
96 GB of VRAM per GPU on Blackwell-generation RTX PRO 6000 cards
One OpenAI-compatible API for platform models and dedicated endpoints
Covers GPU rental, fine-tuning and inference on one account

Considerations

Single GPU model (RTX PRO 6000); no H100, H200 or B200 capacity
GPU instances available in the United States only
Fine-tuning limited to LoRA/QLoRA jobs on up to 4 GPUs

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

EcoHash

RTX PRO 6000 GPU Instances

Containerized Linux GPU instances with SSH, web-terminal and Jupyter access, billed per second at the same per-GPU rate for every size.

Lyceum

Pricing Options

EcoHash

GPU instances

Per GPU-hour, billed per second of running time

Inference API

Per token for language models and per second for some media models, with no minimum commitment

Dedicated Inference

Per GPU-hour for the GPUs behind the endpoint

Fine-tuning

Per minute of GPU time

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

EcoHash

Get Started

1
Create an account
Sign up at console.ecohash.com.
2
Create an API key
Generate a key in the console for the inference API and dedicated endpoints.
3
Call a platform model
Point an OpenAI SDK client at https://api.ecohash.com/v1 and choose a model from the catalog.
4
Launch a GPU instance
Pick a compute template and a 1, 2, 4 or 8 GPU size, then connect over SSH, the browser terminal or Jupyter.

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

EcoHash

Global Regions

GPU instances: United States. Inference API: multi-region routing.

Support

Documentation at docs.ecohash.com and a contact form on ecohash.com; an SLA is published on the website.

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.