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Compare GPU and LLM inference API pricing between Compute Cheap and EcoHash. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Compute Cheap Price | EcoHash Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
B200 180GB VRAM • Compute Cheap | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Compute Cheap | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Compute Cheap | Not Available | — | ||
H200 141GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
B200 180GB VRAM • Compute Cheap | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Compute Cheap | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Compute Cheap | Not Available | — | ||
H200 141GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • EcoHash | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | Compute Cheap | 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 | $0.090 in $0.370 out | — |
Alibaba | Not available | $1.90 in $5.70 out | — |
Alibaba | Not available | $0.400 in $0.800 out | — |
Alibaba | Not available | $0.400 in $0.400 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Offers both spot and on-demand pricing for GPU compute.
Enables capacity owners to compete for workloads, ensuring transparent pricing.
Utilizes underused infrastructure for cost-effective compute.
Charges are based on usage, with no long-term commitments.
Designed primarily around GPU resources without added complexities.
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.
Visit the pricing page to review available GPU types and configurations.
Choose between spot or on-demand GPU resources.
Fill out the request form to initiate use of resources.
Integrate your applications with the Compute Cheap platform.
Start your GPU compute tasks based on selected resources.
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.
Available across multiple global regions, including the Americas.
Offers support via documentation and community channels.