Context Window

Compare

Claude 4 Sonnet vs Llama 2 7b Chat Int8

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 4 Sonnet

Tool calling

Context window

200K

200,000 tokens · ~150K words

Model page
Meta

Model

Llama 2 7b Chat Int8

Context window

2K

2,048 tokens · ~2K 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 4 Sonnet200K
Llama 2 7b Chat Int82K

Claude 4 Sonnet has about 97.7× the context window of the other in this pair.

Token calculator →Memory savings →

Claude 4 Sonnet has 9665% more context capacity (200K vs 2K tokens). Llama 2 7b Chat Int8 is 35% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Claude 4 Sonnet. Its 200K context fits entire documents without chunking (vs 2K).

  • RAG / high-volume retrieval

    Use Llama 2 7b Chat Int8. Input tokens are 35% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Claude 4 Sonnet. Its 200K 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 4 SonnetLlama 2 7b Chat Int8
Context window200,000 tokens (200K)2,048 tokens (2K)
Max output tokens200,000 tokens (200K)2,048 tokens (2K)
Speed tierBalancedFast
VisionNoNo
Function callingYesNo
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.

ProviderClaude 4 Sonnet inClaude 4 Sonnet outLlama 2 7b Chat Int8 inLlama 2 7b Chat Int8 out
Cloudflare——$1.92/M$1.92/M
Deepinfra$3.30/M$16.50/M——
Replicate$3.00/M$15.00/M——

Frequently asked questions

Claude 4 Sonnet has a larger context window: 200K tokens vs 2K. 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