What is the difference between DeepSeek and EcoHash?

DeepSeek 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: DeepSeek 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 DeepSeek 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 DeepSeek and EcoHash, with 0 models available from both providers.

DeepSeek vs EcoHash

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

DeepSeek

Provider 1

GPUs Available

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EcoHash

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

DeepSeek GPUs

EcoHash GPUs

Direct Comparisons

GPU Pricing Comparison

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

Showing 1 of 1 GPUs

Last updated: 10/13/2026, 3:05:27 AM

GPU Model ↑	DeepSeek 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: 10/12/2026 ★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: 10/12/2026 ★Best Price EcoHash

LLM API Pricing Comparison

Total models: 16Both available: 1DeepSeek: 2EcoHash: 15

Showing 15 of 16 models

Prices per 1M tokens · Last updated: 10/13/2026, 3:05:27 AM

Model ↑	DeepSeek	EcoHash	Input Diff ↕
DeepSeek V4 Flash DeepSeek	Not available	$0.490 in $1.42 out	—
DeepSeek V4 Pro DeepSeek	$1.32 in $3.96 out	$0.910 in $2.72 out	$0.410
DeepSeek V4.1 Flash DeepSeek	$0.300 in $1.20 out	Not available	—
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	—

Features Comparison

DeepSeek

OpenAI and Anthropic formats
The same models are served on an OpenAI-compatible base URL and an Anthropic-compatible one
Thinking mode
Models support thinking and non-thinking modes selected per request
Context caching
Repeated prompt prefixes are billed at a cache-hit rate well below the cache-miss input rate
Off-peak pricing
Rates are halved outside the published weekday peak hours and on weekends
JSON output and tool calls
Structured JSON output, tool calling, chat prefix completion and FIM completion (beta)

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

DeepSeek

Advantages

First-party rates for DeepSeek's own models
Cache-hit input billed at a fraction of the cache-miss rate
Off-peak hours cut every rate in half
Compatible with OpenAI and Anthropic client libraries

Considerations

Only DeepSeek's own models are offered
Rates depend on time of day, which complicates cost forecasting
Per-account concurrency limits apply

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

DeepSeek

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

DeepSeek

Per token, peak

Cache-hit input, cache-miss input and output billed per 1M tokens during weekday peak hours

Per token, off-peak

Half the peak rates at all other times

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

DeepSeek

Get Started

1
Create an account
Sign up on the DeepSeek Platform and top up a balance
2
Create an API key
Generate a key in the platform's API keys page
3
Call the API
Point an OpenAI- or Anthropic-compatible client at api.deepseek.com

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

DeepSeek

Support

Documentation, API status page, and FAQ

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.