Context Window

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Anthropic Claude vs Granite Guardian 3 2 2b

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

Anthropic Claude

Context window

100K

100,000 tokens · ~75K words

Model page
Ibm

Model

Granite Guardian 3 2 2b

Context window

8K

8,192 tokens · ~6K 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.

Anthropic Claude100K
Granite Guardian 3 2 2b8K

Anthropic Claude has about 12.2× the context window of the other in this pair.

Token calculator →Memory savings →

Anthropic Claude has 1120% more context capacity (100K vs 8K tokens). Granite Guardian 3 2 2b is 98% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Anthropic Claude. Its 100K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Granite Guardian 3 2 2b. Input tokens are 98% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Granite Guardian 3 2 2b. Its 8K 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.

SpecAnthropic ClaudeGranite Guardian 3 2 2b
Context window100,000 tokens (100K)8,192 tokens (8K)
Max output tokens8,191 tokens (8K)8,192 tokens (8K)
Speed tierBalancedBalanced
VisionNoNo
Function callingNoNo
Extended thinkingNoNo
Prompt cachingNoNo
Batch APIYesNo
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.

ProviderAnthropic Claude inAnthropic Claude outGranite Guardian 3 2 2b inGranite Guardian 3 2 2b out
Aws Bedrock$8.00/M$24.00/M——
Ibm Watsonx——$0.100/M$0.100/M

Frequently asked questions

Anthropic Claude has a larger context window: 100K tokens vs 8K. 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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Use a smaller model.
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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