What is the difference between EcoHash and Fireworks AI?

EcoHash and Fireworks AI 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 Fireworks AI?

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 Fireworks AI?

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 Fireworks AI, with 0 models available from both providers.

EcoHash vs Fireworks AI

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

EcoHash

Provider 1

GPUs Available

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Fireworks AI

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

EcoHash GPUs

Fireworks AI GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 1Both available: 0EcoHash: 1Fireworks AI: 0

Showing 1 of 1 GPUs

Last updated: 10/6/2026, 6:08:00 AM

GPU Model ↑	EcoHash Price	Fireworks AI 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: 10/6/2026 ★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: 10/6/2026 ★Best Price Not Available EcoHash

LLM API Pricing Comparison

Total models: 17Both available: 5EcoHash: 13Fireworks AI: 9

Showing 15 of 17 models

Prices per 1M tokens · Last updated: 10/6/2026, 6:07:59 AM

Model ↑	EcoHash	Fireworks AI	Input Diff ↕
DeepSeek V4 Pro DeepSeek	$0.910 in $2.72 out	Not available	—
DeepSeek V4.1 Flash DeepSeek	Not available	$0.300 in $1.20 out	—
GLM-5.2 Zhipu	$1.00 in $3.00 out	$1.40 in $4.40 out	$0.400
GLM-5.3 Z AI	$1.25 in $4.30 out	$1.40 in $4.40 out	$0.150
GLM-5.3-Flash Z AI	Not available	$0.150 in $0.500 out	—
GPT-OSS-20B OpenAI	$0.050 in $0.200 out	Not available	—
Inkling Thinking Machines Lab	Not available	$1.00 in $4.05 out	—
Kimi K3 Moonshot	$2.00 in $12.00 out	$3.00 in $15.00 out	$1.00
Llama 3.1 8B Meta	$0.100 in $0.100 out	Not available	—
MiniMax-M3 MiniMax	$0.200 in $0.900 out	$0.586 in $2.34 out	$0.386
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	$2.00 in $6.00 out	$0.100
Qwen3 Omni 30B A3B Alibaba	$0.400 in $0.800 out	Not available	—
Qwen3 Reranker 8B Alibaba	Not available	$4.88 in $0.0000 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.

Fireworks AI

100+ Open-Source Models
Text, vision, audio, image, and embedding models, including recent releases such as Kimi K3, GLM 5.2, DeepSeek V4, MiniMax M3, and Qwen3.7 Plus
Blazing Fast Inference
Industry-leading throughput and latency with fast inference engine
Fine-Tuning Suite
SFT, DPO, and reinforcement fine-tuning of models up to 1T+ parameters, from guided runs through writing your own trainer and RL loop
OpenAI- and Anthropic-Compatible API
Drop-in replacement for closed-model APIs - change the base URL to migrate, with the same SFT data format for fine-tuning
On-Demand GPUs
H100, H200, B200, B300, and GB300 deployments with per-second billing and autoscaling
Batch Processing
Async bulk inference jobs run at scale for less than standard serverless requests

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

Fireworks AI

Advantages

Lightning-fast inference with industry-leading response times
Easy-to-use API with OpenAI and Anthropic compatibility
Wide variety of optimized open-source models
Discounted pricing for cached tokens and batch inference

Considerations

Limited capacity with some serverless model limits
Primarily focused on language models over image/video generation
BYOC only available for major enterprise customers

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.

Fireworks AI

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

Fireworks AI

Serverless Inference

Pay-per-token pricing across Standard, Priority, and Fast serverless tiers with postpaid billing and no cold starts

Cached tokens

Cached input tokens billed at a reduced rate on supported models

Batch processing

Async bulk inference billed at a discount to standard serverless requests

Embeddings

Embedding models billed per 1M input tokens, tiered by model parameter count

Fine Tuning

Supervised and preference fine tuning billed per 1M training tokens with LoRA or full-parameter options; reinforcement fine tuning billed per GPU hour

Serverless Training API

Shared always-on trainer pool for LoRA training with no provisioning or idle cost, billed per token prefilled, sampled, and trained

On-demand GPUs

Per-second billing for H100, H200, B200, B300, and GB300 GPU deployments with no start-up charges; region-restricted deployments in the US or Europe are priced at 1.25x the standard rate

Reserved capacity

Guaranteed capacity with higher rate limits and earliest access to new hardware, arranged through sales

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.

Fireworks AI

Get Started

1
Explore Model Library
Browse 100+ models at fireworks.ai/models
2
Test in Playground
Experiment with prompts interactively without coding
3
Generate API Key
Create an API key from user settings in your account
4
Make first API call
Use OpenAI-compatible endpoints or Fireworks SDK
5
Scale to production
Transition to on-demand GPU deployments for production workloads

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.

Fireworks AI

Global Regions

18+ global regions across 8 cloud providers with multi-region deployments and BYOC support for enterprise

Support

Documentation, Discord community, status page, email support, and dedicated enterprise support with SLAs