What is the difference between EcoHash and Empirio Labs?

EcoHash and Empirio Labs 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 Empirio Labs?

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 Empirio Labs?

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 1 different GPU models across both EcoHash and Empirio Labs, with 0 models available from both providers.

EcoHash vs Empirio Labs

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

EcoHash

Provider 1

GPUs Available

Visit Website

Empirio Labs

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

EcoHash GPUs

Empirio Labs GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 1Both available: 0EcoHash: 1Empirio Labs: 0

Showing 1 of 1 GPUs

Last updated: 10/12/2026, 10:53:01 PM

GPU Model ↑	EcoHash Price	Empirio Labs Price	Price Diff ↕	Sources
RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/12/2026 ★Best Price Not Available EcoHash

RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/12/2026 ★Best Price Not Available EcoHash

LLM API Pricing Comparison

Total models: 40Both available: 8EcoHash: 15Empirio Labs: 33

Showing 15 of 40 models

Prices per 1M tokens · Last updated: 10/12/2026, 10:53:01 PM

Model ↑	EcoHash	Empirio Labs	Input Diff ↕
DeepSeek V4 Flash DeepSeek	$0.490 in $1.42 out	$0.424 in $1.27 out	$0.066
DeepSeek V4 Pro DeepSeek	$0.910 in $2.72 out	$1.32 in $3.96 out	$0.410
DeepSeek V4.1 Flash DeepSeek	Not available	$0.300 in $1.20 out	—
Gemma 4 26B Google	Not available	$0.050 in $0.290 out	—
GLM-5.2 Zhipu	$1.00 in $3.00 out	$1.40 in $4.40 out	$0.400
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	$0.075 in $0.250 out	—
GPT-OSS-20B OpenAI	$0.050 in $0.200 out	Not available	—
Kimi K2.6 Kimi	Not available	$0.894 in $3.71 out	—
Kimi K2.7 Code Kimi	Not available	$0.950 in $4.00 out	—
Kimi K3 Moonshot	$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	—
MiMo-V2.5 Xiaomi	Not available	$0.700 in $1.40 out	—
MiMo-V2.5-Pro Xiaomi	Not available	$2.17 in $4.35 out	—
MiMo-V2.6-Flash Xiaomi	Not available	$0.140 in $0.280 out	—

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.

Empirio Labs

Open-source Model Hosting
Deploys selected open-source models on its own GPUs.
Optimized Proprietary Endpoints
Integrates commercial models with enhanced features and user-friendly endpoints.
Custom AI Deployments
Builds custom AI systems tailored to client needs.
Pay-as-you-go Pricing
Offers flexible usage-based payment options.
High Rate Limits
Provides higher request limits compared to direct service providers.

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

Empirio Labs

Advantages

Specializes in open-source model deployment
Offers custom model integration
Flexible payment options enhance accessibility
Higher rate limits facilitate better performance

Considerations

Lacks clear information on regional availability
Limited details on specific legal entity
Contact email is the only published contact point

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.

Empirio Labs

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

Empirio Labs

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.

Empirio Labs

Get Started

1
Explore Models
Visit the models page to view available options.
2
Contact Support
Reach out for inquiries or tailored deployments.
3
Create an Account
Sign up on the platform for access to services.
4
Review Documentation
Check available resources for integration guidance.
5
Start Deploying
Begin using hosted models or custom integrations.

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.

Empirio Labs

Global Regions

Global

Support

Email support available for inquiries and guidance.