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Compare GPU and LLM inference API pricing between IO.NET and Mistral AI. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | IO.NET Price | Mistral AI Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • IO.NET | 8x GPU | 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 • | ||||
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 | 8x GPU | Not Available | — | |
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 | 2x 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 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 | 8x GPU | 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 • | ||||
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 | 8x GPU | Not Available | — | |
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 | 2x 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 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 ↑ | IO.NET | Mistral AI | Input Diff ↕ |
|---|---|---|---|
Mistral | Not available | $0.300 in $0.900 out | — |
DeepSeek | $0.524 in $2.21 out | Not available | — |
DeepSeek | $0.955 in $1.89 out | Not available | — |
DeepSeek | $0.203 in $0.367 out | Not available | — |
DeepSeek | $1.41 in $2.83 out | Not available | — |
Mistral | Not available | $0.400 in $2.00 out | — |
Mistral | Not available | $0.100 in $0.300 out | — |
Google | $0.124 in $0.410 out | Not available | — |
Zhipu | $0.157 in $0.937 out | Not available | — |
Zhipu | $0.536 in $2.07 out | Not available | — |
Zhipu | $0.930 in $2.53 out | Not available | — |
Zhipu | $0.830 in $2.56 out | Not available | — |
Zhipu | $1.31 in $4.20 out | Not available | — |
Zhipu | $1.54 in $4.84 out | Not available | — |
OpenAI | $0.180 in $0.610 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
Access to latest models including Mistral 3, Small 4, Medium 3.5, and specialized models like Codestral and Voxtral TTS
Unified agent for long-horizon productivity and coding tasks, available on web, mobile, CLI, and IDE
Complete AI development environment with API playground, agent orchestration, and deployment tools
Train, align, and evaluate custom AI models with enterprise domain adaptation
Frontier-scale infrastructure for training and inference with dedicated GPU clusters
Leading open-weight models including Mistral 7B, Mixtral 8x7B, and Mistral Nemo under Apache 2.0
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
Free, Pro, Team, and Enterprise tiers with varying usage limits and features
Per million token pricing with separate input and output rates
Rate-limited free access for experimentation
Custom models, private deployments, and dedicated infrastructure
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 console.mistral.ai to access Vibe and Studio
Use Vibe for AI agent tasks or Studio for API development
Create an API key from Studio for programmatic access
Install Vibe CLI, SDK (mistralai), or use web interfaces
Make your first API call or run tasks in Vibe
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
EU (France) primary hosting with global availability. Azure, AWS Bedrock, and Google Vertex AI deployment options for data residency requirements
Documentation, Discord community, Vibe chat interface, email support, and enterprise support plans