What is the difference between EcoHash and IteraCompute?

EcoHash and IteraCompute 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 IteraCompute?

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 IteraCompute?

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 IteraCompute, with 0 models available from both providers.

EcoHash vs IteraCompute

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

EcoHash

Provider 1

GPUs Available

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IteraCompute

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

EcoHash GPUs

IteraCompute GPUs

Direct Comparisons

GPU Pricing Comparison

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

Showing 1 of 1 GPUs

Last updated: 11/6/2026, 11:57:43 PM

GPU Model ↑	EcoHash Price	IteraCompute 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: 11/6/2026 ★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: 11/6/2026 ★Best Price Not Available EcoHash

LLM API Pricing Comparison

Total models: 27Both available: 7EcoHash: 11IteraCompute: 23

Showing 15 of 27 models

Prices per 1M tokens · Last updated: 11/6/2026, 11:57:43 PM

Model ↑	EcoHash	IteraCompute	Input Diff ↕
Claude Fable 5.1 Anthropic	Not available	$5.00 in $25.00 out	—
Claude Haiku 5.5 Anthropic	Not available	$0.050 in $0.250 out	—
Claude Opus 5.5 Anthropic	Not available	$2.00 in $10.00 out	—
Claude Sonnet 5.5 Anthropic	Not available	$1.00 in $5.00 out	—
DeepSeek V4 Pro DeepSeek	$0.910 in $2.72 out	$0.600 in $1.79 out	$0.310
DeepSeek V4.1 Flash DeepSeek	Not available	$0.140 in $0.550 out	—
Gemini 3.8 Flash Google	Not available	$0.600 in $3.00 out	—
Gemini 4 Argon Google	Not available	$1.60 in $8.00 out	—
GLM-5.2 Z.ai	$1.00 in $3.00 out	$0.530 in $1.72 out	$0.470
GLM-5.3 Z.ai	$1.25 in $4.30 out	$0.820 in $2.88 out	$0.430
GLM-5.3-Flash Z.ai	Not available	$0.080 in $0.280 out	—
GPT-6 Astra OpenAI	Not available	$8.00 in $40.00 out	—
GPT-6 Luna OpenAI	Not available	$0.080 in $0.400 out	—
GPT-6.1 Sol OpenAI	Not available	$1.60 in $8.00 out	—
GPT-OSS-20B OpenAI	$0.050 in $0.200 out	Not available	—

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.

IteraCompute

Free Qwen3.8-27B API
Up to 30 million tokens per account per UTC calendar month, with no credit card or recharge required. This allowance applies only to Qwen3.8-27B. Shared-capacity and rate limits apply.
Reserved Inference
Capacity reservation options for your selected model and workload. Availability, capacity and service levels are subject to agreement.
Dedicated Inference
Dedicated endpoint proposals tailored to model, context length, throughput and concurrency requirements.
Custom Deployment
Workload-specific model evaluation, quantization and deployment services, with scope and delivery terms agreed separately.

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

IteraCompute

Advantages

OpenAI-compatible API for straightforward integration.
Published per-model, token-based pricing.
Free monthly Qwen3.8-27B allowance with no credit card required. 2.

Considerations

Free capacity is shared and may queue during busy periods.
Model availability, supported features and rate limits vary by model. 3.

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.

IteraCompute

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

IteraCompute

Free Qwen3.8-27B

Up to 30M tokens per account per UTC calendar month. No credit card or recharge required. Shared-capacity and rate limits apply.

Pay-as-you-go API

Model-specific token pricing. See https://iteracompute.com/pricing/ for current rates.

Enterprise Services

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.

IteraCompute

Get Started

1
Create Your Account
Register at https://platform.iteracompute.com/sign-up and complete the account verification process.
2
Create an API Key
Create an API key for your selected model and keep it private.
3
Connect Your Application
Set your API base URL to https://api.iteracompute.com/v1 and use the exact model ID listed in the documentation.
4
Review Usage and Billing
Monitor token usage and billing in your account. Check model pricing and limits before increasing usage.

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.

IteraCompute

Global Regions

Regional availability depends on the selected model and service. Contact us to confirm deployment locations and any specific data-residency requirements.

Support

Technical and account support: support@iteracompute.com. Business partnerships and enterprise inquiries: partnerships@iteracompute.com. API documentation and integration guides: https://iteracompute.com/docs.html