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Compare GPU and LLM inference API pricing between Anthropic and IO.NET. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Anthropic Price | IO.NET Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • IO.NET | Not Available | 8x GPU | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | 2x GPU | — | |
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • IO.NET | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • IO.NET | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • IO.NET | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • IO.NET | Not Available | 2x GPU | — | |
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • IO.NET | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • IO.NET | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
A100 PCIE 40GB VRAM • IO.NET | Not Available | 8x GPU | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | 2x GPU | — | |
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • IO.NET | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • IO.NET | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • IO.NET | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • IO.NET | Not Available | 2x GPU | — | |
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • IO.NET | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • IO.NET | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
| Model ↑ | Anthropic | IO.NET | Input Diff ↕ |
|---|---|---|---|
Anthropic | $10.00 in $50.00 out | Not available | — |
Anthropic | $1.00 in $5.00 out | Not available | — |
Anthropic | $15.00 in $75.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $3.00 in $15.00 out | Not available | — |
Anthropic | $3.00 in $15.00 out | Not available | — |
Anthropic | $2.00 in $10.00 out | Not available | — |
DeepSeek | Not available | $0.524 in $2.21 out | — |
DeepSeek | Not available | $0.955 in $1.89 out | — |
DeepSeek | Not available | $0.203 in $0.367 out | — |
DeepSeek | Not available | $1.41 in $2.83 out | — |
Google | Not available | $0.124 in $0.410 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare Anthropic with another leading provider
Compare Anthropic with another leading provider
Compare Anthropic with another leading provider
Compare Anthropic with another leading provider
Compare Anthropic with another leading provider
Compare Anthropic with another leading provider
Access to Claude 4.x models including Opus 4.7, Sonnet 4.6, and Haiku 4.5, plus Mythos preview
Agentic coding assistant in your terminal for enhanced development workflows
Collaborative workspace features for team projects and shared workflows
Advanced security features and tools for enterprise security teams (currently in beta)
Fully managed agent infrastructure with stateful sessions and persistent event history
200K tokens standard with extended context options for large document analysis
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
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.
Per million token pricing for Claude models with competitive rates
Standard and premium seats with monthly/annual billing for teams of 5-150
Per-seat pricing plus API usage rates with advanced admin and security features
90% savings on cached content with 5-minute and 1-hour options
50% discount on all tokens for async processing
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
Sign up at platform.claude.com
Create an API key from Account Settings
pip install anthropic (Python) or npm install @anthropic-ai/sdk (TypeScript)
Call the Messages API endpoint with your API key
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
150+ countries including US, Canada, UK, EU, Australia, Japan. Available via direct API, AWS Bedrock, Google Vertex AI, Microsoft Foundry, and Azure
Documentation, Discord community, email support, Help Center, status page, and enterprise support options
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