Context Window

Compare

Gpt Realtime vs Mixtral 8x7B Instruct

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.

Openai

Model

Gpt Realtime

Tool calling

Context window

32K

32,000 tokens · ~24K words

Model page
Mistral

Model

Mixtral 8x7B Instruct

Tool calling

Context window

33K

32,768 tokens · ~25K 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.

Gpt Realtime32K
Mixtral 8x7B Instruct33K

Mixtral 8x7B Instruct has about 1× the context window of the other in this pair.

Token calculator →Memory savings →

Mixtral 8x7B Instruct has 2% more context capacity (32K vs 32K tokens). Mixtral 8x7B Instruct is 87% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Mixtral 8x7B Instruct. Its 32K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Mixtral 8x7B Instruct. Input tokens are 87% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Mixtral 8x7B Instruct. 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.

SpecGpt RealtimeMixtral 8x7B Instruct
Context window32,000 tokens (32K)32,768 tokens (32K)
Max output tokens4,096 tokens (4K)32,768 tokens (32K)
Speed tierBalancedFast
VisionNoNo
Function callingYesYes
Extended thinkingNoNo
Prompt cachingYesNo
Batch APINoNo
Release dateN/ADec 2023

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.

ProviderGpt Realtime inGpt Realtime outMixtral 8x7B Instruct inMixtral 8x7B Instruct out
Fireworks——$0.500/M$0.500/M
Openai$4.00/M$16.00/M——

Frequently asked questions

Mixtral 8x7B Instruct 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.

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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
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