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Compare GPU and LLM inference API pricing between Google Cloud and Mistral AI. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Google Cloud Price | Mistral AI Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Scalable virtual machines with a wide range of machine types, including GPUs.
Managed Kubernetes service for deploying and managing containerized applications.
Event-driven serverless compute platform.
Fully managed serverless platform for containerized applications.
Unified ML platform for building, deploying, and managing ML models.
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.
Access to Mistral Large, Mistral Small, Mistral Nemo, Codestral, and Mixtral models
Leading open-weight models including Mistral 7B, Mixtral 8x7B, and Mistral Nemo under Apache 2.0
Native tool use and function calling across all commercial models
Structured output with guaranteed valid JSON responses
Customize models on proprietary data through La Plateforme
Multimodal capabilities with image understanding on Pixtral models
Offers customizable virtual machines running in Google's data centers.
Managed Kubernetes service for running containerized applications.
Serverless compute platform for running code in response to events.
Pay for compute capacity per hour or per second, with no long-term commitments.
Automatic discounts for running instances for a significant portion of the month.
Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.
Save up to 80% for fault-tolerant workloads that can be interrupted.
Per million token pricing with separate input and output rates
Rate-limited free access for experimentation
Discounted pricing for asynchronous bulk processing
Set up a project in the Google Cloud Console.
Set up a billing account to pay for resource usage.
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
Use the Cloud Console, command-line tools, or APIs to manage your resources.
Sign up at console.mistral.ai
Create an API key from the console dashboard
pip install mistralai (Python) or npm install @mistralai/mistralai (TypeScript)
Use the chat completions endpoint with your preferred Mistral model
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
EU (France) primary hosting with global availability. Azure, AWS Bedrock, and Google Vertex AI deployment options for data residency requirements
Documentation, Discord community, Le Chat playground, email support, and enterprise support plans