What is the difference between Google Cloud and Mistral AI?

Google Cloud and Mistral AI are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Google Cloud or Mistral AI?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Google Cloud and Mistral AI?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

Google Cloud vs Mistral AI LLM API Pricing 2026

LLM API Pricing Comparison

Total models: 18Both available: 0Google Cloud: 4Mistral AI: 14

Showing 15 of 18 models

Prices per 1M tokens · Last updated: 7/25/2026, 10:43:52 PM

Model ↑	Google Cloud	Mistral AI	Input Diff ↕
Codestral 25.08 Mistral	Not available	$0.300 in $0.900 out	—
Devstral 2 123B Mistral	Not available	$0.400 in $2.00 out	—
Devstral Small Mistral	Not available	$0.100 in $0.300 out	—
Gemini 3 Flash Google	$0.500 in $3.00 out	Not available	—
Gemini 3.1 Flash Lite Google	$0.250 in $1.50 out	Not available	—
Gemini 3.1 Pro Google	$2.00 in $12.00 out	Not available	—
Gemini 3.5 Flash Google	$1.50 in $9.00 out	Not available	—
Magistral Medium 1.2 Mistral	Not available	$2.00 in $5.00 out	—
Magistral Small 1.2 Mistral	Not available	$0.500 in $1.50 out	—
Ministral 3 14B Mistral	Not available	$0.200 in $0.200 out	—
Ministral 3B Mistral	Not available	$0.100 in $0.100 out	—
Ministral 8B Mistral	Not available	$0.150 in $0.150 out	—
Mistral Large 3 Mistral	Not available	$0.500 in $1.50 out	—
Mistral Medium 3.5 Mistral	Not available	$1.50 in $7.50 out	—
Mistral Nemo Mistral	Not available	$0.150 in $0.150 out	—

Features Comparison

Google Cloud

Compute Engine
Scalable virtual machines with a wide range of machine types, including GPUs.
Google Kubernetes Engine (GKE)
Managed Kubernetes service for deploying and managing containerized applications.
Cloud Functions
Event-driven serverless compute platform.
Cloud Run
Fully managed serverless platform for containerized applications.
Vertex AI
Unified ML platform for building, deploying, and managing ML models.
Preemptible VMs
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.

Mistral AI

Mistral Model Family
Access to latest models including Mistral 3, Small 4, Medium 3.5, and specialized models like Codestral and Voxtral TTS
Vibe AI Agent
Unified agent for long-horizon productivity and coding tasks, available on web, mobile, CLI, and IDE
Studio Developer Platform
Complete AI development environment with API playground, agent orchestration, and deployment tools
Forge Model Training
Train, align, and evaluate custom AI models with enterprise domain adaptation
Mistral Compute
Frontier-scale infrastructure for training and inference with dedicated GPU clusters
Open-Source Models
Leading open-weight models including Mistral 7B, Mixtral 8x7B, and Mistral Nemo under Apache 2.0

Pros & Cons

Google Cloud

Advantages

Flexible pricing options, including sustained use discounts
Strong AI and machine learning tools (Vertex AI)
Good integration with other Google services
Cutting-edge Kubernetes implementation (GKE)

Considerations

Limited availability in some regions compared to AWS
Complexity in managing resources
Support can be costly

Mistral AI

Advantages

Strong open-source model ecosystem with Apache 2.0 licensing
Comprehensive AI platform beyond just inference APIs
European company with EU data residency options
Excellent code generation with dedicated Codestral model and Vibe coding agent

Considerations

Newer platform with less third-party ecosystem compared to OpenAI
Complex product suite may require learning curve for new users
Enterprise features still maturing compared to hyperscale providers

Compute Services

Google Cloud

Compute Engine

Offers customizable virtual machines running in Google's data centers.

Google Kubernetes Engine (GKE)

Managed Kubernetes service for running containerized applications.

Automated Kubernetes operations
Integration with Google Cloud services

Cloud Functions

Serverless compute platform for running code in response to events.

Automatic scaling and high availability
Pay only for the compute time consumed

Mistral AI

Pricing Options

Google Cloud

On-Demand

Pay for compute capacity per hour or per second, with no long-term commitments.

Sustained Use Discounts

Automatic discounts for running instances for a significant portion of the month.

Committed Use Discounts

Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.

Preemptible VMs

Save up to 80% for fault-tolerant workloads that can be interrupted.

Mistral AI

Vibe Subscription Plans

Free, Pro, Team, and Enterprise tiers with varying usage limits and features

API Pay-per-token

Per million token pricing with separate input and output rates

Free tier

Rate-limited free access for experimentation

Enterprise deployments

Custom models, private deployments, and dedicated infrastructure

Getting Started

Google Cloud

Get Started

1
Create a Google Cloud project
Set up a project in the Google Cloud Console.
2
Enable billing
Set up a billing account to pay for resource usage.
3
Choose a compute service
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
4
Create and configure an instance
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
5
Manage resources
Use the Cloud Console, command-line tools, or APIs to manage your resources.

Mistral AI

Get Started

1
Create an account
Sign up at console.mistral.ai to access Vibe and Studio
2
Choose your starting point
Use Vibe for AI agent tasks or Studio for API development
3
Generate API key
Create an API key from Studio for programmatic access
4
Install tools
Install Vibe CLI, SDK (mistralai), or use web interfaces
5
Start building
Make your first API call or run tasks in Vibe

Support & Global Availability

Google Cloud

Global Regions

40+ regions and 120+ zones worldwide.

Support

Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.

Mistral AI

Global Regions

EU (France) primary hosting with global availability. Azure, AWS Bedrock, and Google Vertex AI deployment options for data residency requirements

Support

Documentation, Discord community, Vibe chat interface, email support, and enterprise support plans