Context Window

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Llama 3.1 70B Instruct vs Moonshot V1 8k Vision Preview

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

Llama 3.1 70B Instruct

Tool calling

Context window

131K

131,072 tokens · ~98K words

Model page
Moonshot

Model

Moonshot V1 8k Vision Preview

Image inputTool calling

Context window

8K

8,192 tokens · ~6K 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.

Llama 3.1 70B Instruct131K
Moonshot V1 8k Vision Preview8K

Llama 3.1 70B Instruct has about 16× the context window of the other in this pair.

Token calculator →Memory savings →

Llama 3.1 70B Instruct has 1500% more context capacity (131K vs 8K tokens). Moonshot V1 8k Vision Preview is 80% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Llama 3.1 70B Instruct. Its 131K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Moonshot V1 8k Vision Preview. Input tokens are 80% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Llama 3.1 70B Instruct. 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.

SpecLlama 3.1 70B InstructMoonshot V1 8k Vision Preview
Context window131,072 tokens (131K)8,192 tokens (8K)
Max output tokens131,072 tokens (131K)8,192 tokens (8K)
Speed tierDeepBalanced
VisionNoYes
Function callingYesYes
Extended thinkingNoNo
Prompt cachingNoNo
Batch APINoNo
Release dateJul 2024N/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.

ProviderLlama 3.1 70B Instruct inLlama 3.1 70B Instruct outMoonshot V1 8k Vision Preview inMoonshot V1 8k Vision Preview out
Moonshot——$0.200/M$2.00/M
Perplexity$1.00/M$1.00/M——

Frequently asked questions

Llama 3.1 70B Instruct has a larger context window: 131K 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.

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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