What is the difference between Bentaus and EcoHash?

Bentaus and EcoHash 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 EcoHash?

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 EcoHash?

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 2 different GPU models across both Bentaus and EcoHash, with 0 models available from both providers.

Bentaus vs EcoHash

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

Bentaus

Provider 1

GPUs Available

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EcoHash

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Bentaus GPUs

EcoHash GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 2Both available: 0Bentaus: 1EcoHash: 1

Showing 2 of 2 GPUs

Last updated: 10/13/2026, 3:05:35 AM

GPU Model ↑	Bentaus Price	EcoHash Price	Price Diff ↕	Sources
HGX B300 288GB VRAM • Bentaus	$4.35/hr★ Best 8x GPU	Not Available	—	Bentaus
HGX B300 288GB VRAM • Bentaus $4.35/hour 8x GPU configuration Updated: 10/12/2026 ★Best Price Not Available Bentaus
RTX PRO 6000 96GB VRAM • EcoHash	Not Available	$1.89/hr★ Best	—	EcoHash
RTX PRO 6000 96GB VRAM • Not Available EcoHash $1.89/hour Updated: 10/12/2026 ★Best Price EcoHash

HGX B300 288GB VRAM • Bentaus	$4.35/hr★ Best 8x GPU	Not Available	—	Bentaus
HGX B300 288GB VRAM • Bentaus $4.35/hour 8x GPU configuration Updated: 10/12/2026 ★Best Price Not Available Bentaus
RTX PRO 6000 96GB VRAM • EcoHash	Not Available	$1.89/hr★ Best	—	EcoHash
RTX PRO 6000 96GB VRAM • Not Available EcoHash $1.89/hour Updated: 10/12/2026 ★Best Price EcoHash

LLM API Pricing Comparison

Total models: 15Both available: 0Bentaus: 0EcoHash: 15

Showing 15 of 15 models

Prices per 1M tokens · Last updated: 10/13/2026, 3:05:35 AM

Model ↑	Bentaus	EcoHash	Input Diff ↕
DeepSeek V4 Flash DeepSeek	Not available	$0.490 in $1.42 out	—
DeepSeek V4 Pro DeepSeek	Not available	$0.910 in $2.72 out	—
GLM-5.2 Zhipu	Not available	$1.00 in $3.00 out	—
GLM-5.3 Z AI	Not available	$1.25 in $4.30 out	—
GPT-OSS-20B OpenAI	Not available	$0.050 in $0.200 out	—
Kimi K3 Moonshot	Not available	$2.00 in $12.00 out	—
Llama 3.1 8B Meta	Not available	$0.100 in $0.100 out	—
MiniMax-M3 MiniMax	Not available	$0.200 in $0.900 out	—
Qwen 3 Coder 30B Alibaba	Not available	$0.100 in $0.300 out	—
Qwen 3.8 Flash Alibaba	Not available	$0.090 in $0.370 out	—
Qwen 3.8 Max Alibaba	Not available	$1.90 in $5.70 out	—
Qwen3 Omni 30B A3B Alibaba	Not available	$0.400 in $0.800 out	—
Qwen3 VL 8B Alibaba	Not available	$0.150 in $0.500 out	—
Qwen3.6 35B A3B Alibaba	Not available	$0.400 in $0.400 out	—
Whisper V3 Turbo OpenAI	Not available	$100.00 in $0.0000 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

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.

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

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

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

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.

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

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

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

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.

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.

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.