Context Window

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Meta Llama3 1 8b Instruct vs Nova Lite 1.0

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

Meta Llama3 1 8b Instruct

Tool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Amazon

Model

Nova Lite 1.0

Image inputTool calling

Context window

300K

300,000 tokens · ~225K 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.

Meta Llama3 1 8b Instruct128K
Nova Lite 1.0300K

Nova Lite 1.0 has about 2.3× the context window of the other in this pair.

Token calculator →Memory savings →

Nova Lite 1.0 has 134% more context capacity (300K vs 128K tokens). Nova Lite 1.0 is 72% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Nova Lite 1.0. Its 300K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Nova Lite 1.0. Input tokens are 72% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Nova Lite 1.0. Its 10K 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.

SpecMeta Llama3 1 8b InstructNova Lite 1.0
Context window128,000 tokens (128K)300,000 tokens (300K)
Max output tokens2,048 tokens (2K)10,000 tokens (10K)
Speed tierFastBalanced
VisionNoYes
Function callingYesYes
Extended thinkingNoNo
Prompt cachingNoNo
Batch APINoNo
Release dateN/ADec 2024

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.

ProviderMeta Llama3 1 8b Instruct inMeta Llama3 1 8b Instruct outNova Lite 1.0 inNova Lite 1.0 out
Amazon——$0.060/M$0.240/M
Aws Bedrock$0.220/M$0.220/M——

Frequently asked questions

Nova Lite 1.0 has a larger context window: 300K tokens vs 128K. 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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Use a smaller model.
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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.

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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