LLM Reference
Amazon Web Services (AWS) AI

Amazon Web Services (AWS) AI

27 models across 4 families · Latest: Amazon Titan Text Premier (2026-01)

Democratizing AI for all businesses

RAGAgentsLong contextVisionClassificationJSON / Tool use

Amazon Web Services (AWS) AI's portfolio covers 27 active models across 4 current families, spanning rag, agents, and long context. Open a model detail page to compare provider routes and sourced benchmarks.

Covers 6 workload areas across 27 active tracked models; last verified 2026-06-24.

Use it for

  • Teams evaluating rag, agents, and long context across this lab's releases
  • Comparing model families before committing to a flagship
  • Migration and pricing follow-ups across 27 tracked models

Do not use it for

  • Choosing a hosting provider without opening a model page for price ladders

Active models

27

Current models from this lab, excluding deprecated ones

Active families

4

Current model families from this lab

Open catalog

0 open

0 open source / 0 open weights

Lowest output price

$0.080 /1M

Cheapest tracked output across active models, per 1M tokens

Latest dated release

2026-01-01

Amazon Titan Text Premier

Freshness

2026-06-24

Researched 70d ago

stale

Information

Founded2006
Seattle, Washington, United States

Release cadence

Dated releases
5
Latest date
2026-01-01

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: 9 tracked models with context-token or InfiniteBench-class signal.
  • Vision: 7 tracked models with multimodal benchmark coverage.

Flagship quality / price signal

Selection source
Best sourced coding Q/$
Coding grade
unknown
Benchmark / output price
Not enough sourced benchmark and price coverage

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.

Featured models

ModelReleasedContextInput price ($/1M)Output price ($/1M)LicenseOpenness
Amazon Titan Text Premier2026-01-0132k--ProprietaryProprietary
Amazon Nova 2 Omni2025-12-021m--ProprietaryProprietary
Amazon Nova 2 Lite2025-12-021m$0.3$2.5ProprietaryProprietary

Model families

Recent releases

  1. Amazon Titan Text Premier- 2026-01-01
  2. Amazon Nova 2 Omni- 2025-12-02
  3. Amazon Nova 2 Lite- 2025-12-02
  4. Amazon Nova 2 Pro- 2025-12-02
  5. Amazon Nova Multimodal Embeddings- 2025-12-01

Top comparisons

Explore related pages

Last reviewed: 2026-06-24. Data sourced from public lab announcements and provider documentation.