Context Window

Compare

Codellama 70b Instruct vs Llama3 1 70b Instruct Fp8

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.

Meta

Model

Codellama 70b Instruct

Context window

4K

4,096 tokens · ~3K words

Model page
Meta

Model

Llama3 1 70b Instruct Fp8

Tool calling

Context window

131K

131,072 tokens · ~98K 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.

Codellama 70b Instruct4K
Llama3 1 70b Instruct Fp8131K

Llama3 1 70b Instruct Fp8 has about 32× the context window of the other in this pair.

Token calculator →Memory savings →

Llama3 1 70b Instruct Fp8 has 3100% more context capacity (131K vs 4K tokens). Llama3 1 70b Instruct Fp8 is 88% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Llama3 1 70b Instruct Fp8. Its 131K context fits entire documents without chunking (vs 4K).

  • RAG / high-volume retrieval

    Use Llama3 1 70b Instruct Fp8. Input tokens are 88% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Llama3 1 70b Instruct Fp8. Its 131K 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.

SpecCodellama 70b InstructLlama3 1 70b Instruct Fp8
Context window4,096 tokens (4K)131,072 tokens (131K)
Max output tokens4,096 tokens (4K)131,072 tokens (131K)
Speed tierDeepDeep
VisionNoNo
Function callingNoYes
Extended thinkingNoNo
Prompt cachingNoNo
Batch APINoNo
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.

ProviderCodellama 70b Instruct inCodellama 70b Instruct outLlama3 1 70b Instruct Fp8 inLlama3 1 70b Instruct Fp8 out
Anyscale$1.00/M$1.00/M——
Lambda——$0.120/M$0.300/M

Frequently asked questions

Llama3 1 70b Instruct Fp8 has a larger context window: 131K tokens vs 4K. 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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Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
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Current turn

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