26 models across 4 families · Latest: Amazon Nova 2 Lite (2026-03)
Democratizing AI for all businesses
Amazon Web Services (AWS) AI's portfolio covers 26 active models across 4 non-obsolete families, with task labels spanning rag, agents, and long context. Open a model detail page to compare provider routes and sourced benchmarks.
Portfolio context: 6 decision-task tags, 26 active tracked models, latest research stamp 2026-05-20.
Use this portfolio page for
- Teams evaluating rag, agents, and long context across this lab's releases
- Readers comparing families before locking a flagship SKU
- 26 tracked SKUs for migration and pricing follow-ups
Do not stop here for
- Choosing a hosting provider without opening a model page for price ladders
Active models
26
Non-deprecated SKUs linked to this researcher
Active families
4
Non-obsolete families in coverage
Open catalog
0 OSS
0 open-weight (text match)
Decision task tags
6
Mapped to the site-wide task taxonomy
Latest dated release
2026-03-01
Amazon Nova 2 Lite
Freshness
2026-05-20
Researched 15d ago
Release cadence
Showing 5 recent dated ships (full timeline below). Latest spotlight: Amazon Nova 2 Lite (2026-03-01).
Where this lab wins
- RAG: 5 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 2 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 8 tracked models with context-token or InfiniteBench-class signal.
- Vision: 5 tracked models with multimodal benchmark coverage.
Flagship quality / price signal
Anchor SKU: Titan Text Premier (best sourced coding Q/$ in this portfolio).
Quality / dollar unavailable for this anchor — missing benchmark coverage and/or output token price on the cheapest ladder route (open the model detail after pricing lands).
Amazon Web Services (AWS) AI is an American AI research organization founded in 2006. Democratizing AI for all businesses. Amazon Web Services (AWS) AI ships 4 model families totaling 26 models, with the most recent release Amazon Nova 2 Lite in 2026-03. Notable families include Amazon Nova, Amazon Titan Text, and Nova. Use it as a stable reference for lab background, release. View official API endpoints, benchmark performance, and coding/agent fit for every Amazon Web Services (AWS) AI model.
About
Amazon Web Services (AWS) has carved out a significant role in the advancement of artificial intelligence, focusing particularly on generative AI and large language models (LLMs). At the core of AWS's AI offerings is their ability to democratize access to powerful AI tools and services, which empowers developers and businesses to build and scale AI solutions with ease and efficiency. This democratization is pivotal as it allows companies, regardless of size or expertise, to implement sophisticated AI technologies into their operations. One of AWS's flagship contributions to the generative AI space is Amazon Bedrock, a fully managed service that streamlines the development and scaling of generative AI applications. This service stands out by providing access to a diverse array of foundation models from both Amazon itself and innovative AI startups. Such versatility enables businesses to select models tailored to specific use cases, from text generation to image synthesis, without requiring deep machine learning expertise. The ease of integrating and deploying these models helps organizations leverage cutting-edge AI capabilities to stay competitive in their respective markets 57. AWS's Amazon SageMaker further complements its generative AI offerings by providing a robust platform for building, training, and deploying custom machine learning models. SageMaker JumpStart, in particular, accelerates the prototype process by offering pre-trained models and code examples, which is advantageous for businesses aiming to adapt AI solutions to their unique requirements. This feature is particularly useful for those looking to fine-tune models with proprietary data, ensuring that their AI applications meet precise business needs 457. Furthermore, AWS's robust cloud infrastructure is a significant asset in the AI landscape. With high-performance computing capabilities that support the training of large models, AWS provides cost-effective solutions through EC2 instance types powered by its custom Trainium and Inferentia chips. These offerings reduce the financial and technical barriers for businesses attempting to adopt AI, enhancing both accessibility and performance 710. Ethical AI practices are integral to AWS's strategic vision. By prioritizing transparency, human oversight, and the mitigation of biases in AI outputs, AWS addresses the ethical concerns prevalent in today's AI deployment. This commitment reassures businesses and end-users alike, as ethical AI becomes increasingly important in technology adoption and deployment 57. Looking forward, AWS's ongoing innovations and partnerships with leading research organizations highlight its dedication to staying at the forefront of AI advancements. As generative AI continues to evolve, AWS is poised to enhance its offerings, ensuring that businesses can harness the best of AI technologies to drive productivity and optimize customer interactions, solidifying its leadership in the field.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| Amazon Nova 2 Lite | 2026-03-01 | 1m | $0.3 | $2.5 | Proprietary |
| Amazon Titan Text Premier | 2026-01-01 | 32k | - | - | Proprietary |
| Amazon Nova 2 Omni | 2025-12-02 | 1m | - | - | Proprietary |
Model families
Recent releases
- Amazon Nova 2 Lite- 2026-03-01
- Amazon Titan Text Premier- 2026-01-01
- Amazon Nova 2 Omni- 2025-12-02
- Amazon Nova Multimodal Embeddings- 2025-12-01
- Amazon Nova Micro- 2025-11-01
FAQ
Who founded Amazon Web Services (AWS) AI and when?
Amazon Web Services (AWS) AI was founded in 2006 and is associated with Seattle, Washington, United States.
What models has Amazon Web Services (AWS) AI released?
Amazon Web Services (AWS) AI ships 26 models across 4 families: Amazon Nova, Amazon Titan Text, and Nova.
Is Amazon Web Services (AWS) AI's technology open source?
Amazon Web Services (AWS) AI's tracked models are primarily proprietary, with some license details still being verified.
Where is Amazon Web Services (AWS) AI headquartered?
Amazon Web Services (AWS) AI is headquartered in Seattle, Washington, United States.
What is Amazon Web Services (AWS) AI known for?
Democratizing AI for all businesses. Its most prominent tracked family is Amazon Nova.
How can I access Amazon Web Services (AWS) AI's models?
Amazon Web Services (AWS) AI's models are available via AWS Bedrock, OpenRouter, and Vercel AI Gateway.
Explore related pages
Last reviewed: 2026-05-20. Data sourced from public lab announcements and provider documentation.