Context Window

Compare

GPT-4 (older v0314) vs Llama 3 1 405b Instruct Maas

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.

Openai

Model

GPT-4 (older v0314)

Tool calling

Context window

8K

8,192 tokens · ~6K words

Model page
Meta

Model

Llama 3 1 405b Instruct Maas

Image input

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.

GPT-4 (older v0314)8K
Llama 3 1 405b Instruct Maas128K

Llama 3 1 405b Instruct Maas has about 15.6× the context window of the other in this pair.

Token calculator →Memory savings →

Llama 3 1 405b Instruct Maas has 1462% more context capacity (128K vs 8K tokens). Llama 3 1 405b Instruct Maas is 83% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Llama 3 1 405b Instruct Maas. Its 128K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Llama 3 1 405b Instruct Maas. Input tokens are 83% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use GPT-4 (older v0314). Its 4K 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.

SpecGPT-4 (older v0314)Llama 3 1 405b Instruct Maas
Context window8,192 tokens (8K)128,000 tokens (128K)
Max output tokens4,096 tokens (4K)2,048 tokens (2K)
Speed tierBalancedDeep
VisionNoYes
Function callingYesNo
Extended thinkingNoNo
Prompt cachingNoNo
Batch APINoNo
Release dateMay 2023N/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.

ProviderGPT-4 (older v0314) inGPT-4 (older v0314) outLlama 3 1 405b Instruct Maas inLlama 3 1 405b Instruct Maas out
Google Vertex——$5.00/M$16.00/M
Openai$30.00/M$60.00/M——

Frequently asked questions

Llama 3 1 405b Instruct Maas has a larger context window: 128K tokens vs 8K. 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