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Amazon Titan Text Express vs Grok 4.20

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 Express

Context window

42K

42,000 tokens · ~32K words

Model page
Xai

Model

Grok 4.20

Image inputTool calling

Context window

2M

2,000,000 tokens · ~1.5M 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 Express42K
Grok 4.202M

Grok 4.20 has about 47.6× the context window of the other in this pair.

Grok 4.20 has 4661% more context capacity (2000K vs 42K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Grok 4.20. Its 2000K context fits entire documents without chunking (vs 42K).

Full specs

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

SpecAmazon Titan Text ExpressGrok 4.20
Context window42,000 tokens (42K)2,000,000 tokens (2000K)
Max output tokens8,000 tokens (8K)N/A
Speed tierBalancedBalanced
VisionNoYes
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoNo
Release dateN/AMar 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 Express inAmazon Titan Text Express outGrok 4.20 inGrok 4.20 out
Aws Bedrock$1.30/M$1.70/M

Frequently asked questions

Grok 4.20 has a larger context window: 2000K 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.

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Without Mem0~128K tokens sent
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