Context Window

Compare

Anthropic Claude vs Claude 3 7 Sonnet

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
Anthropic

Model

Claude 3 7 Sonnet

Context window

200K

200,000 tokens · ~150K 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
Claude 3 7 Sonnet200K

Claude 3 7 Sonnet has about 2× the context window of the other in this pair.

Token calculator →Memory savings →

Claude 3 7 Sonnet has 100% more context capacity (200K vs 100K tokens). Claude 3 7 Sonnet is 62% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Claude 3 7 Sonnet. Its 200K context fits entire documents without chunking (vs 100K).

  • RAG / high-volume retrieval

    Use Claude 3 7 Sonnet. Input tokens are 62% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Claude 3 7 Sonnet. 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.

SpecAnthropic ClaudeClaude 3 7 Sonnet
Context window100,000 tokens (100K)200,000 tokens (200K)
Max output tokens8,191 tokens (8K)64,000 tokens (64K)
Speed tierBalancedBalanced
VisionNoNo
Function callingNoNo
Extended thinkingNoYes
Prompt cachingNoYes
Batch APIYesYes
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 outClaude 3 7 Sonnet inClaude 3 7 Sonnet out
Aws Bedrock$8.00/M$24.00/M——
Gradient——$3.00/M$15.00/M
Openrouter——$3.00/M$15.00/M
Replicate——$3.00/M$15.00/M

Frequently asked questions

Claude 3 7 Sonnet has a larger context window: 200K 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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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