Context Window

Compare

Grok 4 20 Multi Agent Beta 0309 vs Llama 3 3 70b Versatile

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 20 Multi Agent Beta 0309

Image inputTool calling

Context window

2M

2,000,000 tokens · ~1.5M words

Model page
Meta

Model

Llama 3 3 70b Versatile

Tool calling

Context window

128K

128,000 tokens · ~96K 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 20 Multi Agent Beta 03092M
Llama 3 3 70b Versatile128K

Grok 4 20 Multi Agent Beta 0309 has about 15.6× the context window of the other in this pair.

Token calculator →Memory savings →

Grok 4 20 Multi Agent Beta 0309 has 1462% more context capacity (2000K vs 128K tokens). Llama 3 3 70b Versatile is 70% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Grok 4 20 Multi Agent Beta 0309. Its 2000K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Llama 3 3 70b Versatile. Input tokens are 70% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Grok 4 20 Multi Agent Beta 0309. Its 2000K 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 20 Multi Agent Beta 0309Llama 3 3 70b Versatile
Context window2,000,000 tokens (2000K)128,000 tokens (128K)
Max output tokens2,000,000 tokens (2000K)32,768 tokens (32K)
Speed tierBalancedDeep
VisionYesNo
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesNo
Batch APINoNo
Release dateN/AN/A

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 20 Multi Agent Beta 0309 inGrok 4 20 Multi Agent Beta 0309 outLlama 3 3 70b Versatile inLlama 3 3 70b Versatile out
Groq——$0.590/M$0.790/M
Xai$2.00/M$6.00/M——

Frequently asked questions

Grok 4 20 Multi Agent Beta 0309 has a larger context window: 2000K tokens vs 128K. 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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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.

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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