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Llama3 70b Instruct Maas vs Llama3 8b 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.

Meta

Model

Llama3 70b Instruct Maas

Context window

32K

32,000 tokens · ~24K words

Model page
Meta

Model

Llama3 8b Instruct Maas

Context window

32K

32,000 tokens · ~24K 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.

Llama3 70b Instruct Maas32K
Llama3 8b Instruct Maas32K

Same context window size for both models.

Llama3 70b Instruct Maas and Llama3 8b Instruct Maas have identical context windows (32K tokens).

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecLlama3 70b Instruct MaasLlama3 8b Instruct Maas
Context window32,000 tokens (32K)32,000 tokens (32K)
Max output tokens32,000 tokens (32K)32,000 tokens (32K)
Speed tierDeepFast
VisionNoNo
Function callingNoNo
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.

ProviderLlama3 70b Instruct Maas inLlama3 70b Instruct Maas outLlama3 8b Instruct Maas inLlama3 8b Instruct Maas out
Google Vertex

Frequently asked questions

Llama3 8b Instruct Maas has a larger context window: 32K tokens vs 32K. 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.

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