Context Window

Compare

Grok 4 5 Latest vs Llama Guard 4 12B (free)

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.

Xai

Model

Grok 4 5 Latest

Image inputTool calling

Context window

500K

500,000 tokens · ~375K words

Model page
Meta

Model

Llama Guard 4 12B (free)

Image input

Context window

164K

163,840 tokens · ~123K 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.

Grok 4 5 Latest500K
Llama Guard 4 12B (free)164K

Grok 4 5 Latest has about 3.1× the context window of the other in this pair.

Token calculator →Memory savings →

Grok 4 5 Latest has 205% more context capacity (500K vs 163K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Grok 4 5 Latest. Its 500K context fits entire documents without chunking (vs 163K).

  • Long output (reports, code files)

    Use Grok 4 5 Latest. Its 500K 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.

SpecGrok 4 5 LatestLlama Guard 4 12B (free)
Context window500,000 tokens (500K)163,840 tokens (163K)
Max output tokens500,000 tokens (500K)65,000 tokens (65K)
Speed tierBalancedBalanced
VisionYesYes
Function callingYesNo
Extended thinkingYesNo
Prompt cachingYesNo
Batch APINoNo
Release dateN/AApr 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.

ProviderGrok 4 5 Latest inGrok 4 5 Latest outLlama Guard 4 12B (free) inLlama Guard 4 12B (free) out
Xai$2.00/M$6.00/M——

Frequently asked questions

Grok 4 5 Latest has a larger context window: 500K tokens vs 163K. 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.

Calculate your savingsLearn about Mem0

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