Context Window

Compare

Mixtral 8x22B Instruct vs Moonshot V1 8k 0430

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

Mixtral 8x22B Instruct

Tool calling

Context window

66K

65,536 tokens · ~49K words

Model page
Moonshot

Model

Moonshot V1 8k 0430

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.

Mixtral 8x22B Instruct66K
Moonshot V1 8k 04308K

Mixtral 8x22B Instruct has about 8× the context window of the other in this pair.

Token calculator →Memory savings →

Mixtral 8x22B Instruct has 700% more context capacity (65K vs 8K tokens). Moonshot V1 8k 0430 is 83% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Mixtral 8x22B Instruct. Its 65K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Moonshot V1 8k 0430. Input tokens are 83% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Mixtral 8x22B Instruct. Its 65K 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.

SpecMixtral 8x22B InstructMoonshot V1 8k 0430
Context window65,536 tokens (65K)8,192 tokens (8K)
Max output tokens65,536 tokens (65K)8,192 tokens (8K)
Speed tierBalancedBalanced
VisionNoNo
Function callingYesYes
Extended thinkingNoNo
Prompt cachingYesNo
Batch APINoNo
Release dateApr 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.

ProviderMixtral 8x22B Instruct inMixtral 8x22B Instruct outMoonshot V1 8k 0430 inMoonshot V1 8k 0430 out
Fireworks$1.20/M$1.20/M——
Moonshot——$0.200/M$2.00/M

Frequently asked questions

Mixtral 8x22B Instruct has a larger context window: 65K 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