Context Window

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Apac Anthropic Claude 3 Haiku 20240307 vs Code Llama 7b Python

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

Apac Anthropic Claude 3 Haiku 20240307

Image inputTool calling

Context window

200K

200,000 tokens · ~150K words

Model page
Meta

Model

Code Llama 7b Python

Context window

16K

16,384 tokens · ~12K 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.

Apac Anthropic Claude 3 Haiku 20240307200K
Code Llama 7b Python16K

Apac Anthropic Claude 3 Haiku 20240307 has about 12.2× the context window of the other in this pair.

Token calculator →Memory savings →

Apac Anthropic Claude 3 Haiku 20240307 has 1120% more context capacity (200K vs 16K tokens). Code Llama 7b Python is 19% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Apac Anthropic Claude 3 Haiku 20240307. Its 200K context fits entire documents without chunking (vs 16K).

  • RAG / high-volume retrieval

    Use Code Llama 7b Python. Input tokens are 19% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Code Llama 7b Python. Its 16K 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.

SpecApac Anthropic Claude 3 Haiku 20240307Code Llama 7b Python
Context window200,000 tokens (200K)16,384 tokens (16K)
Max output tokens4,096 tokens (4K)16,384 tokens (16K)
Speed tierFastFast
VisionYesNo
Function callingYesNo
Extended thinkingNoNo
Prompt cachingYesNo
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.

ProviderApac Anthropic Claude 3 Haiku 20240307 inApac Anthropic Claude 3 Haiku 20240307 outCode Llama 7b Python inCode Llama 7b Python out
Aws Bedrock$0.250/M$1.25/M——
Fireworks——$0.200/M$0.200/M

Frequently asked questions

Apac Anthropic Claude 3 Haiku 20240307 has a larger context window: 200K tokens vs 16K. 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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