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Compare GPU and LLM inference API pricing between 1Legion and EcoHash. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.70/hour between comparable GPUs
| GPU Model ↑ | 1Legion Price | EcoHash Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • 1Legion | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • 1Legion | 8x GPU | Not Available | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • 1Legion | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • 1Legion | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • 1Legion | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • 1Legion | 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • 1Legion | 4x GPU | Not Available | — | |
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • 1Legion | 8x GPU | Not Available | — | |
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • 1Legion | 8x GPU | Not Available | — | |
RTX 5090 32GB VRAM • | ||||
RTX A4000 16GB VRAM • 1Legion | 4x GPU | Not Available | — | |
RTX A4000 16GB VRAM • | ||||
RTX A6000 48GB VRAM • 1Legion | 8x GPU | Not Available | — | |
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • 1LegionEcoHash | 8x GPU | ↓$0.70(37.0%) | ||
A100 SXM 80GB VRAM • 1Legion | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • 1Legion | 8x GPU | Not Available | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • 1Legion | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • 1Legion | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • 1Legion | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • 1Legion | 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • 1Legion | 4x GPU | Not Available | — | |
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • 1Legion | 8x GPU | Not Available | — | |
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • 1Legion | 8x GPU | Not Available | — | |
RTX 5090 32GB VRAM • | ||||
RTX A4000 16GB VRAM • 1Legion | 4x GPU | Not Available | — | |
RTX A4000 16GB VRAM • | ||||
RTX A6000 48GB VRAM • 1Legion | 8x GPU | Not Available | — | |
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • 1LegionEcoHash | 8x GPU | ↓$0.70(37.0%) | ||
| Model ↑ | 1Legion | EcoHash | Input Diff ↕ |
|---|---|---|---|
DeepSeek | Not available | $0.910 in $2.72 out | — |
Zhipu | Not available | $1.00 in $3.00 out | — |
Z AI | Not available | $1.25 in $4.30 out | — |
Moonshot | Not available | $2.00 in $12.00 out | — |
Meta | Not available | $0.100 in $0.100 out | — |
MiniMax | Not available | $0.200 in $0.900 out | — |
Alibaba | Not available | $0.150 in $0.500 out | — |
Alibaba | Not available | $1.90 in $5.70 out | — |
Alibaba | Not available | $0.400 in $0.800 out | — |
OpenAI | Not available | $0.100 in $0.0000 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare 1Legion with another leading provider
Compare 1Legion with another leading provider
Compare 1Legion with another leading provider
Compare 1Legion with another leading provider
Compare 1Legion with another leading provider
Compare 1Legion with another leading provider
Offers direct access to physical GPU hardware without virtualization.
Data protected by advanced security standards across certified data centers.
Transparent pricing model ensuring no surprise charges for data transfer.
Tailored for AI, rendering, and media production tasks.
Flexible configurations to meet specific project requirements.
Offers configurations with 1, 2, 4, or 8 RTX Pro 6000 GPUs.
Supports automatic selection of LoRA/QLoRA fine-tuning over 1-4 GPUs.
Provides an API compatible with OpenAI for various AI models.
Users get full root access with shared filesystems on RTX Pro environments.
Inference endpoints can be deployed across multiple regions with failover.
Explore available GPU options on the 1Legion website.
Choose from the range of bare metal GPU servers.
Reach out to engineers for specific setup requirements.
Understand minimum commitments and conditions.
Start utilizing the selected GPU servers.
Create an account on the EcoHash platform.
Select the desired GPU instances for your project.
Consult the EcoHash documentation to understand available features.
Launch your GPU environment for training or inference.
Start using the API for model inference or training tasks.
North America, Europe
Support available via chat and email.
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.