Amazon Bedrock Expands to Nearly 100 Models: New Mistral, NVIDIA, OpenAI and Google Models Unlock New Enterprise AI Opportunities
February 20, 2026
Generative AI Is Becoming the Enterprise Standard — and AWS Is Expanding Bedrock
Amazon Web Services continues to invest heavily in generative artificial intelligence. The latest Amazon Bedrock update introduces 18 new fully managed open-weight models, bringing the total number of available models close to 100. This represents one of the largest generative AI model catalogs among all cloud providers. The new models come from leading global AI companies:
- Mistral AI
- NVIDIA
- OpenAI
- Qwen
- MiniMax AI
- Moonshot AI
This gives AWS customers access to a broad range of models for diverse business scenarios — from lightweight solutions to high-performance enterprise LLMs.
What Is Amazon Bedrock and Why It Matters for Enterprise AI
Amazon Bedrock is a fully managed generative AI service that allows organizations to access foundation models via API without:
- managing servers
- deploying GPU infrastructure
- handling complex ML integrations
This enables companies to focus on business logic rather than infrastructure.
Key Benefits
1. Serverless Architecture
Bedrock automatically scales based on demand.
Customers pay only for what they use.
2. Unified API Across Models
You can:
- start with Mistral
- switch to NVIDIA
- test OpenAI
without rewriting your application. This significantly simplifies experimentation and optimization.
3. Enterprise-Grade Security
Bedrock integrates with:
- AWS IAM
- AWS VPC
- AWS KMS
Enabling AI adoption in regulated industries such as:
- banking
- fintech
- healthcare
- government
New Flagship Model: Mistral Large 3
One of the most significant additions is Mistral Large 3 — one of the most powerful open-weight models available today.
Capabilities
Optimized for:
- long document processing
- advanced reasoning
- code generation
- image analysis
- multilingual tasks
It performs strongly in:
- software development
- data analysis
- enterprise automation
Practical Business Use Cases
Customer Support Automation
AI can:
- analyze inquiries
- generate responses
- operate as a chatbot
Legal Document Analysis
Such as:
- contacts
- NDAs
- compliance documents
Developer Assistance
AI can:
- generate code
- detect bugs
- optimize algorithms
Ministral 3: AI for Edge and Local Deployment
The new Ministral 3 models enable AI deployment even in resource-constrained environments. Ideal for:
- edge devices
- embedded systems
- private deployments
Ministral 3 3B
Best suited for:
- mobile apps
- lightweight chatbots
- IoT solutions
Ministral 3 8B
Balanced in:
- performance
- cost
- resource efficiency
Ministral 3 14B
Enterprise-grade model for local deployments.
Google Gemma 3 — An Enterprise Alternative
New models:
- Gemma 3 4B
- Gemma 3 12B
- Gemma 3 27B
Optimized for:
- AI assistants
- document processing
- content generation
NVIDIA Nemotron — AI for Developers
Optimized for:
- code generation
- automation
- DevOps
Ulocking new possibilities for:
- software companies
- SaaS platforms
- IT Teams
Qwen — Advanced Multimodal AI
Enables:
- video analysis
- PDF processing
- UI automation
Ideal for:
- automation systems
- document intelligence
- enterprice analytics
New Opportunities for Businesses
Amazon Bedrock enables:
- faster AI adoption
- cost optimization
- product innovation
No Vendor Lock-In at the Model Level
You can switch models without changing infrastructure. This enables:
- cost optimization
- performance tunning
Security and Data Control
Amazon Bedrock does not use customer data to train models.
Amazon Bedrock Guardrails
allows organizations to:
- control AI outputs
- ensure compliance
AWS Ecosystem Integration
Bedrock integrates with:
- AWS Lambda
- Amazon S3
- Amazon RDS
- Amazon OpenSearch
Enabling full AI architectures.
Conclusion
The latest Amazon Bedrock expansion significantly strengthens enterprise AI capabilities.
With nearly 100 models available, organizations can:
- accelerate AI adoption
- optimize costs
- build next generation AI products
Amazon Bedrock is becoming a core platform for enterprise AI.
Ready to Implement AI on AWS?
As an AWS distributor, we are ready to support your AI journey.
Contact us for
consultation.