What is the difference between Cohere and EcoHash?

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

Cohere vs EcoHash

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

Cohere

Provider 1

GPUs Available

Visit Website

EcoHash

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Cohere GPUs

EcoHash GPUs

Direct Comparisons

GPU Pricing Comparison

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

Showing 1 of 1 GPUs

Last updated: 10/14/2026, 7:19:28 AM

GPU Model ↑	Cohere 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: 10/14/2026 ★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: 10/14/2026 ★Best Price EcoHash

LLM API Pricing Comparison

Total models: 17Both available: 0Cohere: 2EcoHash: 15

Showing 15 of 17 models

Prices per 1M tokens · Last updated: 10/14/2026, 7:19:28 AM

Model ↑	Cohere	EcoHash	Input Diff ↕
Command R Cohere	$0.150 in $0.600 out	Not available	—
Command R7B Cohere	$0.037 in $0.150 out	Not available	—
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 Z.ai	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 AI	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	—

Features Comparison

Cohere

Command Model Family
High-performance generative models combining reasoning, tool orchestration, and multimodal intelligence, supporting 49 languages
North Mini Code
Agentic coding model built for practical software engineering tasks
Aya Multilingual Models
Research-grade multilingual models (8B and 32B) excelling across diverse languages
Transcribe
High-fidelity speech-to-text model supporting 14 languages with robust real-world conversation handling
Embed & Rerank
Multimodal semantic search and relevance optimization for retrieval-augmented generation
Flexible Deployment
Deploy via cloud API, virtual private cloud, on-premises, or Cohere-managed Model Vault

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

Cohere

Advantages

Strong enterprise security and compliance focus
Flexible deployment options including on-premises
Excellent multilingual support with Aya models
Competitive pricing for high-quality models

Considerations

Smaller model ecosystem compared to OpenAI or Anthropic
Less name recognition in consumer AI space
Enterprise features may be overkill for smaller projects

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

Cohere

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

Cohere

Pay-as-you-go

Production API keys billed per million input and output tokens, invoiced monthly or once an outstanding balance threshold is reached

Trial API Key

Free rate-limited key created automatically with every account, for development and testing but not commercial use

Model Vault

Dedicated managed inference priced per instance by model and performance tier, billed hourly or via monthly and annual commitments, with Fixed or Flex plans

Enterprise

Custom pricing for the North and Compass platforms, model customization, and private or on-premises deployments

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

Cohere

Get Started

1
Create Cohere account
Sign up at dashboard.cohere.com
2
Get API key
Generate a trial or production API key from the dashboard
3
Install SDK
pip install cohere (Python) or npm install cohere-ai (TypeScript)
4
Make first API call
Call the Chat, Embed, or Rerank endpoint with your API key, or experiment in the dashboard Playground

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

Cohere

Global Regions

Global API access with deployment options including AWS, GCP, Azure, and on-premises installations

Support

Documentation, API reference, release notes, cookbooks, LLM University courses, Discord community, and enterprise support options

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.