Context Window

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Grok 2 Vision vs Xai Grok 4 3

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 2 Vision

Image inputTool calling

Context window

33K

32,768 tokens · ~25K words

Model page
Xai

Model

Xai Grok 4 3

Image inputTool calling

Context window

131K

131,072 tokens · ~98K 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 2 Vision33K
Xai Grok 4 3131K

Xai Grok 4 3 has about 4× the context window of the other in this pair.

Token calculator →Memory savings →

Xai Grok 4 3 has 300% more context capacity (131K vs 32K tokens). Xai Grok 4 3 is 37% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Xai Grok 4 3. Its 131K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Xai Grok 4 3. Input tokens are 37% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Grok 2 Vision. Its 32K 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 2 VisionXai Grok 4 3
Context window32,768 tokens (32K)131,072 tokens (131K)
Max output tokens32,768 tokens (32K)16,384 tokens (16K)
Speed tierBalancedBalanced
VisionYesYes
Function callingYesYes
Extended thinkingNoYes
Prompt cachingNoYes
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 2 Vision inGrok 2 Vision outXai Grok 4 3 inXai Grok 4 3 out
Aws Bedrock——$1.25/M$2.50/M
Xai$2.00/M$10.00/M——

Frequently asked questions

Xai Grok 4 3 has a larger context window: 131K tokens vs 32K. 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