Loading Comparison
Fetching pricing data and provider information...
Compare GPU and LLM inference API pricing between IO.NET and Perplexity. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | IO.NET Price | Perplexity Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • IO.NET | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | 2x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | 4x GPU | Not Available | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
Gaudi 2 96GB VRAM • IO.NET | 8x GPU | Not Available | — | |
Gaudi 2 96GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • IO.NET | 8x GPU | Not Available | — | |
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • IO.NET | 4x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | 8x GPU | Not Available | — | |
RTX 4090 24GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • IO.NET | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • IO.NET | 2x GPU | Not Available | — | |
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • IO.NET | 8x GPU | Not Available | — | |
RTX PRO 6000 96GB VRAM • | ||||
A100 PCIE 40GB VRAM • IO.NET | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | 2x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | 4x GPU | Not Available | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
Gaudi 2 96GB VRAM • IO.NET | 8x GPU | Not Available | — | |
Gaudi 2 96GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • IO.NET | 8x GPU | Not Available | — | |
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • IO.NET | 4x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | 8x GPU | Not Available | — | |
RTX 4090 24GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • IO.NET | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • IO.NET | 2x GPU | Not Available | — | |
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • IO.NET | 8x GPU | Not Available | — | |
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | IO.NET | Perplexity | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.568 in $2.28 out | Not available | — |
DeepSeek | $1.42 in $2.38 out | Not available | — |
DeepSeek | $0.345 in $0.582 out | Not available | — |
DeepSeek | $1.75 in $3.49 out | Not available | — |
DeepSeek | $0.309 in $1.24 out | Not available | — |
Google | $0.100 in $0.374 out | Not available | — |
Zhipu | $0.064 in $0.400 out | Not available | — |
Zhipu | $0.157 in $0.937 out | Not available | — |
Zhipu | $0.520 in $2.04 out | Not available | — |
Zhipu | $0.880 in $2.37 out | Not available | — |
Zhipu | $0.860 in $2.75 out | Not available | — |
Zhipu | $1.36 in $4.27 out | Not available | — |
Zhipu | $1.72 in $5.60 out | Not available | — |
Z AI | $1.58 in $4.97 out | Not available | — |
Z AI | $0.200 in $0.670 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs
Deploy clusters in under 90 seconds with auto-scaling capabilities
Choose from containers, Ray clusters, or bare metal based on workload needs
Uses the same distributed computing framework that OpenAI used to train GPT-3
AI models, smart agents, and API integration for workflow automation
Kernel-level VPN with secure mesh protocols for data protection
Proprietary models combining LLM reasoning with real-time web search and citations
Responses include inline citations and sources from live web data
Drop-in replacement using standard chat completions format
Access to Llama and other open-source models alongside Sonar
JSON mode and structured output support for reliable parsing
Restrict or focus web search to specific domains for targeted results
On-demand GPU clusters for AI/ML workloads with multiple deployment options
AI models, smart agents, and API integration platform
Decentralized pool of GPU providers with unified APIs and competitive pricing.
Most cost-effective option for distributed ML workloads using Ray framework
Standard containerized deployments with Docker support
Premium pricing for direct hardware access and maximum performance
Dynamic pricing based on actual resource usage with automatic scaling
Per million token pricing with separate input and output rates
Per-request pricing for search-augmented Sonar queries
Create an account on the IO.NET platform with no complex KYC requirements
Purchase $IO tokens for compute payments or add other supported payment methods
Select from containers, Ray clusters, or bare metal based on your workload
Specify GPU requirements, region preferences, and scaling options
Launch your cluster in under 90 seconds and start your AI/ML workloads
Sign up at perplexity.ai and navigate to API settings
Create an API key from your account settings
Select from Sonar (search-augmented) or standard open-source models
Use the OpenAI-compatible chat completions endpoint
Global distributed network across 139 countries with intelligent geographic clustering and latency optimization
Documentation portal, Discord community (500,000+ members), Telegram support, and direct engineering support for GPU and driver questions
Global availability via cloud infrastructure
API documentation, Discord community, email support