Amazon Bedrock is redefining enterprise AI by introducing 18 fully managed open-weight models, giving organizations unprecedented access to the latest advancements in artificial intelligence. This strategic expansion empowers teams to harness a broad spectrum of models tailored to various needs without the complexity of managing infrastructure or rewriting code.
Expansive Model Selection Across Leading Providers
With nearly 100 serverless models now available, users can select from offerings by industry leaders such as Google, MiniMax AI, Mistral AI, Moonshot AI, NVIDIA, OpenAI, and Qwen. A unified API makes it simple to test, switch, and adopt models, ensuring flexibility as business requirements evolve. This approach streamlines the process of integrating AI into applications, facilitating rapid experimentation and deployment.
Spotlight on Mistral AI: Four New Models Debut First
Mistral AI’s latest models highlight Bedrock’s focus on versatility and performance. Each model is designed for specific use cases:
- Mistral Large 3: Excels in long-context and multimodal reasoning, supporting document processing, coding, and multilingual analysis for complex enterprise workloads.
- Ministral 3 3B: Optimized for edge devices and single GPU deployment, this compact model is ideal for real-time translation, image captioning, and lightweight language tasks.
- Ministral 3 8B: Balances performance and efficiency, supporting chatbots, document understanding, and embedded systems with limited resources.
- Ministral 3 14B: Delivers state-of-the-art text and vision capabilities, perfect for advanced, privacy-sensitive deployments and agentic applications.
Industry-Optimized Models for Every Workflow
The new additions serve a range of industry-specific needs:
- Google Gemma 3 Series: Powers multilingual and image-based applications for everything from mobile devices to large-scale enterprise use.
- MoonshotAI Kimi K2 Thinking: Supports deep reasoning, tool use, and research-intensive workflows.
- MiniMax M2: Automates coding, DevOps, and multi-file editing in development environments.
- Mistral Magistral Small & Voxtral Series: Enable advanced math, coding, multilingual, and audio-based applications like voice assistants.
- NVIDIA Nemotron Nano 2 Series: Designed for multimodal reasoning, video understanding, and document intelligence.
- OpenAI gpt-oss-safeguard Models: Provide robust content moderation and policy enforcement for regulatory compliance.
- Qwen3-Next & Qwen3-VL: Handle ultra-long document processing, code generation, and multimedia tasks with ease.
Security, Responsible AI, and Compliance
Amazon Bedrock’s platform delivers more than just performance. With features like Bedrock Guardrails, organizations can enforce responsible AI policies, customize safeguards, and evaluate models for fairness and security. AWS emphasizes rigorous attention to data privacy and bias, ensuring safe, compliant AI integration in production environments.
Easy Integration and Scalable Deployment
Access to these models is seamless via the Bedrock console, AWS SDKs, or APIs such as InvokeModel and Converse. Bedrock supports advanced agentic frameworks and deployment solutions, allowing rapid scaling from initial testing to full production. Comprehensive regional availability and detailed documentation help teams innovate quickly.
Key Takeaway: Empowering Innovation, Ensuring Trust
This major update positions Amazon Bedrock as a premier platform for businesses seeking flexible, secure, and advanced AI solutions. Whether streamlining content moderation, building intelligent chatbots, or deploying vision models at the edge, Bedrock’s expanded portfolio gives enterprises the tools to innovate with confidence and responsibility.
Amazon Bedrock Unveils 18 New Fully Managed Open-Weight Models for Enterprise AI