Context Window

Compare

Claude Instant vs Grok 4

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.

Anthropic

Model

Claude Instant

Context window

100K

100,000 tokens · ~75K words

Model page
Xai

Model

Grok 4

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.

Claude Instant100K
Grok 4131K

Grok 4 has about 1.3× the context window of the other in this pair.

Token calculator →Memory savings →

Grok 4 has 31% more context capacity (131K vs 100K tokens). Claude Instant is 73% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Grok 4. Its 131K context fits entire documents without chunking (vs 100K).

  • RAG / high-volume retrieval

    Use Claude Instant. Input tokens are 73% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Grok 4. 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.

SpecClaude InstantGrok 4
Context window100,000 tokens (100K)131,072 tokens (131K)
Max output tokens8,191 tokens (8K)131,072 tokens (131K)
Speed tierBalancedBalanced
VisionNoYes
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APIYesNo
Release dateN/AJul 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.

ProviderClaude Instant inClaude Instant outGrok 4 inGrok 4 out
Aws Bedrock$0.800/M$2.40/M——
Azure——$3.00/M$15.00/M
Openrouter——$3.00/M$15.00/M
Replicate——$7.20/M$36.00/M
Xai——$3.00/M$15.00/M

Frequently asked questions

Grok 4 has a larger context window: 131K tokens vs 100K. 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