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Amazon Titan Text Lite vs Llama 3.1 70B Hanami x1
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
Amazon Titan Text Lite has about 2.6× the context window of the other in this pair.
Amazon Titan Text Lite has 162% more context capacity (42K vs 16K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Amazon Titan Text Lite. Its 42K context fits entire documents without chunking (vs 16K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Amazon Titan Text Lite | Llama 3.1 70B Hanami x1 |
|---|---|---|
| Context window | 42,000 tokens (42K) | 16,000 tokens (16K) |
| Max output tokens | 4,000 tokens (4K) | N/A |
| Speed tier | Balanced | Deep |
| Vision | No | No |
| Function calling | No | No |
| Extended thinking | No | No |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | N/A | Jan 2025 |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | Amazon Titan Text Lite in | Amazon Titan Text Lite out | Llama 3.1 70B Hanami x1 in | Llama 3.1 70B Hanami x1 out |
|---|---|---|---|---|
| Aws Bedrock | $0.300/M | $0.400/M | — | — |
Frequently asked questions
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