What is the difference between AkashML and EcoHash?

AkashML 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: AkashML 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 AkashML 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 1 different GPU models across both AkashML and EcoHash, with 0 models available from both providers.

AkashML vs EcoHash

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

AkashML

Provider 1

GPUs Available

Visit Website

EcoHash

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

AkashML GPUs

EcoHash GPUs

Direct Comparisons

GPU Pricing Comparison

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

Showing 1 of 1 GPUs

Last updated: 11/13/2026, 6:03:33 AM

GPU Model ↑	AkashML Price	EcoHash Price	Price Diff ↕	Sources
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: 11/13/2026 ★Best Price EcoHash

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: 11/13/2026 ★Best Price EcoHash

LLM API Pricing Comparison

Total models: 15Both available: 3AkashML: 7EcoHash: 11

Showing 15 of 15 models

Prices per 1M tokens · Last updated: 11/13/2026, 6:03:33 AM

Model ↑	AkashML	EcoHash	Input Diff ↕
DeepSeek V4 Pro DeepSeek	Not available	$0.910 in $2.72 out	—
GLM-5.2 Z.ai	Not available	$1.00 in $3.00 out	—
GLM-5.3 Z.ai	$0.190 in $4.40 out	$1.25 in $4.30 out	$1.06
GPT-OSS-120B OpenAI	$0.037 in $0.187 out	Not available	—
GPT-OSS-20B OpenAI	$0.018 in $0.090 out	$0.050 in $0.200 out	$0.032
Kimi K3 Moonshot AI	Not available	$2.00 in $12.00 out	—
Kimi K3.1 Pro Moonshot AI	$1.75 in $10.00 out	Not available	—
Llama 3.1 8B Meta	Not available	$0.100 in $0.100 out	—
Llama 3.3 70B Meta	$0.200 in $0.520 out	Not available	—
MiniMax-M3 MiniMax	Not available	$0.200 in $0.900 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	—
Qwen3.6 35B A3B Alibaba	$0.100 in $0.900 out	Not available	—
Qwen3.8 27B Alibaba	$0.225 in $1.98 out	$0.300 in $0.600 out	$0.075
Whisper V3 Turbo OpenAI	Not available	$0.100 in $0.0000 out	—

Features Comparison

AkashML

Decentralized Infrastructure
Utilizes Akash's global resources for AI inference.
Low Latency
Optimized for fastest request times with global reach.
Open Model Lifecycle
Users have control over updates and upgrades.
Seamless Migration
Drop-in API compatibility for easy transitions.
Direct Support
Real-time assistance from engineers without intermediaries.

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

AkashML

Advantages

Global infrastructure for reduced latency
Decentralized network may offer cost efficiency
Flexible deployment options at scale
User control over model lifecycle and upgrades

Considerations

Limited availability of specific models
Dependency on the Akash Network for performance
Initial setup may require some technical knowledge

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

AkashML

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

AkashML

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

AkashML

Get Started

1
Sign up
Create a free account on the AkashML platform.
2
Set up your workflow
Select models and deploy with a single click or API call.
3
Run inference
Send requests via API or Playground, adjusting scale as needed.

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

AkashML

Global Regions

Global, with over 80 datacenters available

Support

Real-time chat with platform engineers available via Slack.

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.