What is the difference between EcoHash and Groq?

EcoHash and Groq 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 Groq?

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 Groq?

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 Groq, with 0 models available from both providers.

EcoHash vs Groq

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

EcoHash

Provider 1

GPUs Available

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Groq

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

EcoHash GPUs

Groq GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 1Both available: 0EcoHash: 1Groq: 0

Showing 1 of 1 GPUs

Last updated: 10/6/2026, 4:00:41 AM

GPU Model ↑	EcoHash Price	Groq 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: 10/5/2026 ★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: 10/5/2026 ★Best Price Not Available EcoHash

LLM API Pricing Comparison

Total models: 15Both available: 1EcoHash: 13Groq: 3

Showing 15 of 15 models

Prices per 1M tokens · Last updated: 10/6/2026, 4:00:41 AM

Model ↑	EcoHash	Groq	Input Diff ↕
DeepSeek V4 Pro DeepSeek	$0.910 in $2.72 out	Not available	—
GLM-5.2 Zhipu	$1.00 in $3.00 out	Not available	—
GLM-5.3 Z AI	$1.25 in $4.30 out	Not available	—
GPT-OSS-120B OpenAI	Not available	$0.150 in $0.600 out	—
GPT-OSS-20B OpenAI	$0.050 in $0.200 out	$0.075 in $0.300 out	$0.025
Kimi K3 Moonshot	$2.00 in $12.00 out	Not available	—
Llama 3.1 8B Meta	$0.100 in $0.100 out	Not available	—
MiniMax-M3 MiniMax	$0.200 in $0.900 out	Not available	—
Qwen 3 Coder 30B Alibaba	$0.100 in $0.300 out	Not available	—
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 Omni 30B A3B Alibaba	$0.400 in $0.800 out	Not available	—
Qwen3 VL 8B Alibaba	$0.150 in $0.500 out	Not available	—
Qwen3.6 35B A3B Alibaba	$0.400 in $0.400 out	Not available	—
Qwen3.8 27B Alibaba	Not available	$0.800 in $4.00 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.

Groq

LPU-Powered Inference
Custom Language Processing Units run inference, with 256 LPUs and 128 GB of on-chip SRAM per rack
OpenAI-Compatible API
Drop-in replacement for the OpenAI API at api.groq.com/openai/v1, including a Responses API
Layered Platform
GroqMetal bare-metal infrastructure, GroqCore inference stack, and GroqAssured enterprise governance, each including the layers below
Multimodal Endpoints
Text generation plus speech-to-text, text-to-speech, OCR and image recognition, and content moderation models
Agentic Systems and Built-In Tools
Compound systems that combine models with web search, code execution, remote MCP tools, and Google Workspace connectors
Service Tiers
Performance, flex, and batch processing tiers, plus prompt caching, structured outputs, and LoRA inference

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

Groq

Advantages

High published token speeds (500 t/s on GPT-OSS 120B, 1,000 t/s on GPT-OSS 20B)
OpenAI-compatible API for easy integration
Competitive pricing for open-weight models
Free tier available for testing

Considerations

Small model catalog: production text models are limited to OpenAI GPT-OSS
Focus on inference only - no training capabilities
Several models are preview-only and may be discontinued at short notice

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.

Groq

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

Groq

Pay-per-token

Token-based pricing with separate input/output rates; audio models are billed per hour and speech models per character

Batch and flex processing

Alternative service tiers for throughput-tolerant or bursty workloads instead of the standard on-demand tier

Enterprise capacity

Dedicated capacity and enterprise-only models quoted through sales

Free tier

Rate-limited free access for development and testing

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.

Groq

Get Started

1
Create an account
Sign up at console.groq.com with email or OAuth
2
Get API key
Generate an API key from the console dashboard
3
Make API calls
Use the OpenAI-compatible endpoint with your preferred model

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.

Groq

Global Regions

13 data centers across four continents, including sites in the US (Liberty Lake, St Paul, Dallas, Houston), Canada (Kamloops, Vaudreuil-Dorion, Calgary), Finland, the UK, Australia, and Saudi Arabia

Support

Documentation and API reference, developer community, production readiness guides, and enterprise onboarding via sales