Amazon Titan Text Models by Amazon Web Services (AWS) AI
3 models2023–2026Up to 32K ctx
About
Amazon Titan Text is a family of 3 AI models by Amazon Web Services (AWS) AI, released between 2023 and 2026.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
3 in view
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Amazon Titan Text Premier | Use when the workload needs 32K context. | 2026-01 | 32K context | Current |
| Amazon Titan Text Express | Use when the workload needs 8K context. | 2023-09 | 8K context | Current |
| Amazon Titan Text Lite | Use when the workload needs 4K context. | 2023-09 | 4K context | Current |
Release Timeline
2 release groups2026-01
1 current
Amazon Titan Text Premier
Current32K context
2023-09
2 current
Amazon Titan Text Express
Current8K context
Amazon Titan Text Lite
Current4K context
Specifications(3 models)
| Model | Released | Context |
|---|---|---|
| Amazon Titan Text Premier | 2026-01 | 32k |
| Amazon Titan Text Express | 2023-09 | 8k |
| Amazon Titan Text Lite | 2023-09 | 4k |
Frequently Asked Questions
- What is Amazon Titan Text used for?
- Amazon Titan Text is used for agent workflows. The family description and listed model capabilities point to those workloads as the best fit.
- How does Amazon Titan Text compare to Amazon Nova?
- Amazon Titan Text by Amazon Web Services (AWS) AI is strongest where you need agent workflows, while Amazon Nova by Amazon Web Services (AWS) AI is the closest related family to check for multimodal. Amazon Titan Text has 3 listed variants and reaches up to 32K context, while Amazon Nova reaches up to 1M context, so compare the specs and pricing tables before choosing a production model.
- Which Amazon Titan Text model should I use?
- If price is the main constraint, use the pricing table first because Amazon Titan Text does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Amazon Titan Text Premier with 32K context.
