Context Window

Compare

Claude 3.7 Sonnet (thinking) vs Meta Llama3 2 11b Instruct

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 3.7 Sonnet (thinking)

Image inputTool calling

Context window

200K

200,000 tokens · ~150K words

Model page
Meta

Model

Meta Llama3 2 11b Instruct

Image inputTool 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.

Claude 3.7 Sonnet (thinking)200K
Meta Llama3 2 11b Instruct128K

Claude 3.7 Sonnet (thinking) has about 1.6× the context window of the other in this pair.

Token calculator →Memory savings →

Claude 3.7 Sonnet (thinking) has 56% more context capacity (200K vs 128K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Claude 3.7 Sonnet (thinking). Its 200K context fits entire documents without chunking (vs 128K).

  • Long output (reports, code files)

    Use Claude 3.7 Sonnet (thinking). Its 64K 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 3.7 Sonnet (thinking)Meta Llama3 2 11b Instruct
Context window200,000 tokens (200K)128,000 tokens (128K)
Max output tokens64,000 tokens (64K)4,096 tokens (4K)
Speed tierDeepFast
VisionYesYes
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesNo
Batch APIYesNo
Release dateFeb 2025N/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.

ProviderClaude 3.7 Sonnet (thinking) inClaude 3.7 Sonnet (thinking) outMeta Llama3 2 11b Instruct inMeta Llama3 2 11b Instruct out
Aws Bedrock——$0.350/M$0.350/M

Frequently asked questions

Claude 3.7 Sonnet (thinking) has a larger context window: 200K 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