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.

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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: 9/11/2026, 12:26:04 PM

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: 9/11/2026 ★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: 9/11/2026 ★Best Price Not Available EcoHash

LLM API Pricing Comparison

Total models: 21Both available: 6EcoHash: 10Fireworks AI: 17

Showing 15 of 21 models

Prices per 1M tokens · Last updated: 9/11/2026, 12:26:04 PM

Model ↑	EcoHash	Fireworks AI	Input Diff ↕
DeepSeek V4 Flash DeepSeek	Not available	$0.220 in $0.660 out	—
DeepSeek V4 Flash Vision DeepSeek	Not available	$0.220 in $0.660 out	—
DeepSeek V4 Pro DeepSeek	$0.910 in $2.72 out	$1.32 in $3.96 out	$0.410
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	—
Inkling Thinking Machines Lab	Not available	$1.00 in $4.05 out	—
Kimi K2.6 Kimi	Not available	$0.950 in $4.00 out	—
Kimi K2.7 Code Kimi	Not available	$0.950 in $4.00 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 M2.7 MiniMax	Not available	$0.300 in $1.20 out	—
MiniMax-M3 MiniMax	$0.200 in $0.900 out	$0.300 in $1.20 out	$0.100
Muse Glimmer Meta	Not available	$0.350 in $1.50 out	—
Qwen 3 VL 32B Alibaba	$0.150 in $0.500 out	Not available	—

Features Comparison

EcoHash

Multiple GPU Options
Offers configurations with 1, 2, 4, or 8 RTX Pro 6000 GPUs.
Managed LoRA Fine-Tuning
Supports automatic selection of LoRA/QLoRA fine-tuning over 1-4 GPUs.
Inference API
Provides an API compatible with OpenAI for various AI models.
Workspace with Root Access
Users get full root access with shared filesystems on RTX Pro environments.
Multi-Region Deployment
Inference endpoints can be deployed across multiple regions with failover.

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

Offers a variety of GPU configurations
API compatibility with OpenAI SDK
Flexible pricing models based on usage
Robust infrastructure for AI applications

Considerations

No pricing details available publicly
Limited information on regional availability
Setup may require technical knowledge

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

Fireworks AI

Pricing Options

EcoHash

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
Sign Up
Create an account on the EcoHash platform.
2
Choose a GPU Configuration
Select the desired GPU instances for your project.
3
Access Documentation
Consult the EcoHash documentation to understand available features.
4
Deploy Your Environment
Launch your GPU environment for training or inference.
5
Utilize APIs
Start using the API for model inference or training tasks.

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

Available across multiple global regions, including the Americas.

Support

Offers support via documentation and community channels.

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