Amazon AWS vs Mistral AI

Compare GPU pricing, features, and specifications between Amazon AWS and Mistral AI cloud providers. Find the best deals for AI training, inference, and ML workloads.

Amazon AWS logo

Amazon AWS

Provider 1

7
GPUs Available
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Mistral AI logo

Mistral AI

Provider 2

0
GPUs Available
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Comparison Overview

7
Total GPU Models
Amazon AWS logo
7
Amazon AWS GPUs
Mistral AI logo
0
Mistral AI GPUs
0
Direct Comparisons

GPU Pricing Comparison

Total GPUs: 7Both available: 0Amazon AWS: 7Mistral AI: 0
Showing 7 of 7 GPUs
Last updated: 3/10/2026, 3:24:38 PM
A10
24GB VRAM •
Amazon AWSAmazon AWS
$1.42/hour
4x GPU configuration
Updated: 2/24/2025
Best Price
Not Available
A100 PCIE
40GB VRAM •
Amazon AWSAmazon AWS
$1.48/hour
8x GPU configuration
Updated: 3/31/2025
Best Price
Not Available
A100 SXM
80GB VRAM •
Amazon AWSAmazon AWS
$0.18/hour
8x GPU configuration
Updated: 3/3/2026
Best Price
Not Available
B200
192GB VRAM •
Amazon AWSAmazon AWS
$0.15/hour
72x GPU configuration
Updated: 3/3/2026
Best Price
Not Available
H100
80GB VRAM •
Amazon AWSAmazon AWS
$0.49/hour
8x GPU configuration
Updated: 3/3/2026
Best Price
Not Available
H200
141GB VRAM •
Amazon AWSAmazon AWS
$0.62/hour
8x GPU configuration
Updated: 3/3/2026
Best Price
Not Available
HGX B300
288GB VRAM •
Amazon AWSAmazon AWS
$1.46/hour
8x GPU configuration
Updated: 3/3/2026
Best Price
Not Available

Features Comparison

Amazon AWS

  • Global Infrastructure

    Extensive network of data centers across multiple regions worldwide

  • Pay-as-you-go Pricing

    Flexible pricing model with no upfront commitments required

  • Advanced Security

    Comprehensive security tools and compliance certifications

  • Auto Scaling

    Automatically adjust resources based on demand

  • Integrated Services

    Extensive ecosystem of services that work seamlessly together

  • Developer Tools

    Comprehensive suite of tools for development, deployment, and management

Mistral AI

  • Mistral Model Family

    Access to Mistral Large, Mistral Small, Mistral Nemo, Codestral, and Mixtral models

  • Open-Source Models

    Leading open-weight models including Mistral 7B, Mixtral 8x7B, and Mistral Nemo under Apache 2.0

  • Function Calling

    Native tool use and function calling across all commercial models

  • JSON Mode

    Structured output with guaranteed valid JSON responses

  • Fine-Tuning

    Customize models on proprietary data through La Plateforme

  • Vision Support

    Multimodal capabilities with image understanding on Pixtral models

Pros & Cons

Amazon AWS

Advantages
  • Broad range of compute options including GPUs
  • Highly scalable and reliable infrastructure
  • Pay-as-you-go pricing with cost optimization tools
  • Extensive global network of data centers
Considerations
  • Complex pricing structure
  • Steep learning curve for new users
  • Potential for unexpected costs without proper management

Mistral AI

Advantages
  • Strong open-source model ecosystem with Apache 2.0 licensing
  • Competitive pricing especially for Mistral Small and Nemo tiers
  • European company with EU data residency options
  • Excellent code generation with dedicated Codestral model
Considerations
  • Smaller model catalog compared to platform providers
  • Less ecosystem maturity than OpenAI or Anthropic
  • Limited multimodal capabilities beyond text and images

Compute Services

Amazon AWS

Amazon EC2

Virtual servers in the cloud with a wide range of instance types.

Amazon ECS

Fully managed container orchestration service.

  • Support for Docker containers
  • Integration with other AWS services
Amazon EKS

Managed Kubernetes service for container orchestration.

  • Certified Kubernetes conformant
  • Integrates with AWS networking and security services

Mistral AI

Pricing Options

Amazon AWS

On-Demand Instances

Pay for compute capacity by the second with no long-term commitments.

Spot Instances

Use spare EC2 capacity at up to 90% off the On-Demand price.

Reserved Instances

Save up to 72% compared to On-Demand pricing with a 1 or 3-year commitment.

Savings Plans

Save up to 72% on compute usage with a 1 or 3-year commitment to a consistent amount of usage.

Mistral AI

Pay-per-token

Per million token pricing with separate input and output rates

Free tier

Rate-limited free access for experimentation

Batch API

Discounted pricing for asynchronous bulk processing

Getting Started

Amazon AWS

Get Started
  1. 1
    Sign up for AWS

    Create an AWS account to access the cloud platform.

  2. 2
    Choose a compute service

    Select from EC2, Lambda, or container services based on your workload needs.

  3. 3
    Launch an instance

    Configure and launch your first compute instance or container.

  4. 4
    Set up security

    Configure security groups and access controls for your resources.

  5. 5
    Monitor and optimize

    Use AWS CloudWatch and Compute Optimizer to monitor performance and reduce costs.

Mistral AI

Get Started
  1. 1
    Create an account

    Sign up at console.mistral.ai

  2. 2
    Generate API key

    Create an API key from the console dashboard

  3. 3
    Install SDK

    pip install mistralai (Python) or npm install @mistralai/mistralai (TypeScript)

  4. 4
    Make first API call

    Use the chat completions endpoint with your preferred Mistral model

Support & Global Availability

Amazon AWS

Global Regions

30+ regions and 100+ availability zones worldwide.

Support

Basic (free), Developer, Business, Enterprise support plans with varying response times and features. Extensive documentation, 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, Le Chat playground, email support, and enterprise support plans