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Compare GPU and LLM inference API pricing between Cohere and IO.NET. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Cohere 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 | — | ||
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 | — | ||
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 ↑ | Cohere | IO.NET | Input Diff ↕ |
|---|---|---|---|
Cohere | $0.150 in $0.600 out | Not available | — |
Cohere | $0.037 in $0.150 out | Not available | — |
DeepSeek | Not available | $0.568 in $2.28 out | — |
DeepSeek | Not available | $0.955 in $1.89 out | — |
DeepSeek | Not available | $0.203 in $0.367 out | — |
DeepSeek | Not available | $1.66 in $3.31 out | — |
Google | Not available | $0.116 in $0.408 out | — |
Zhipu | Not available | $0.157 in $0.937 out | — |
Zhipu | Not available | $0.536 in $2.07 out | — |
Zhipu | Not available | $0.864 in $2.24 out | — |
Zhipu | Not available | $0.830 in $2.56 out | — |
Zhipu | Not available | $1.41 in $4.47 out | — |
Zhipu | Not available | $1.68 in $5.29 out | — |
OpenAI | Not available | $0.188 in $0.730 out | — |
OpenAI | Not available | $0.059 in $0.206 out | — |
Explore how these providers compare to other popular GPU cloud services
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Compare Cohere with another leading provider
Compare Cohere with another leading provider
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Compare Cohere with another leading provider
Compare Cohere with another leading provider
High-performance language models supporting 23 languages with Command, Command R, and Command R+ variants
Research-grade multilingual models (8B and 32B) excelling across diverse languages
High-fidelity speech-to-text model supporting 14 languages with robust real-world conversation handling
Multimodal semantic search and relevance optimization for retrieval-augmented generation
Deploy via cloud API, virtual private cloud, on-premises, or Cohere-managed Model Vault
Enterprise-ready AI platform for workplace productivity with intelligent search
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 starting at $0.30/$0.60 for Command-light
Free tier with rate limiting for development and testing
Custom pricing for dedicated deployments, Model Vault, and on-premises
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 dashboard.cohere.com
Generate a trial or production API key from the dashboard
pip install cohere (Python) or npm install cohere-ai (TypeScript)
Call the Chat or Generate 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
Global API access with deployment options including AWS, GCP, Azure, and on-premises installations
Documentation, API reference, cookbooks, Discord community, 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