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Amazon Titan Text Lite vs GLM Flash Latest

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.

Amazon

Model

Amazon Titan Text Lite

Context window

42K

42,000 tokens · ~32K words

Model page
Z Ai

Model

GLM Flash Latest

Image inputTool calling

Context window

1.3M

1,310,720 tokens · ~983K words

Model page

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 Lite42K
GLM Flash Latest1.3M

GLM Flash Latest has about 31.2× the context window of the other in this pair.

GLM Flash Latest has 3020% more context capacity (1310K vs 42K tokens). GLM Flash Latest is 75% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use GLM Flash Latest. Its 1310K context fits entire documents without chunking (vs 42K).

  • RAG / high-volume retrieval

    Use GLM Flash Latest. Input tokens are 75% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use GLM Flash Latest. Its 131K max output lets you generate complete artifacts in one request.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecAmazon Titan Text LiteGLM Flash Latest
Context window42,000 tokens (42K)1,310,720 tokens (1310K)
Max output tokens4,000 tokens (4K)131,072 tokens (131K)
Speed tierBalancedFast
VisionNoYes
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoNo
Release dateN/AAug 2026

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.

ProviderAmazon Titan Text Lite inAmazon Titan Text Lite outGLM Flash Latest inGLM Flash Latest out
Aws Bedrock$0.300/M$0.400/M
Openrouter$0.075/M$0.250/M

Frequently asked questions

GLM Flash Latest has a larger context window: 1310K tokens vs 42K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model