Context Window

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Llava V1 6 Mistral 7b vs Moonshot V1 8k

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.

Mistral

Model

Llava V1 6 Mistral 7b

Image input

Context window

32K

32,000 tokens · ~24K words

Model page
Moonshot

Model

Moonshot V1 8k

Tool 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.

Llava V1 6 Mistral 7b32K
Moonshot V1 8k8K

Llava V1 6 Mistral 7b has about 3.9× the context window of the other in this pair.

Token calculator →Memory savings →

Llava V1 6 Mistral 7b has 290% more context capacity (32K vs 8K tokens). Moonshot V1 8k is 31% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Llava V1 6 Mistral 7b. Its 32K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Moonshot V1 8k. Input tokens are 31% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Llava V1 6 Mistral 7b. Its 32K 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.

SpecLlava V1 6 Mistral 7bMoonshot V1 8k
Context window32,000 tokens (32K)8,192 tokens (8K)
Max output tokens32,000 tokens (32K)8,192 tokens (8K)
Speed tierFastBalanced
VisionYesNo
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.

ProviderLlava V1 6 Mistral 7b inLlava V1 6 Mistral 7b outMoonshot V1 8k inMoonshot V1 8k out
Moonshot——$0.200/M$2.00/M
Ovhcloud$0.290/M$0.290/M——

Frequently asked questions

Llava V1 6 Mistral 7b has a larger context window: 32K 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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Example: a multi-turn chat session

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