Context Window

Compare

Mistral 7b Instruct V0 1 vs Nous Hermes 2 Mixtral 8x7b Dpo

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

Mistral 7b Instruct V0 1

Tool calling

Context window

16K

16,384 tokens · ~12K words

Model page
Mistral

Model

Nous Hermes 2 Mixtral 8x7b Dpo

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.

Mistral 7b Instruct V0 116K
Nous Hermes 2 Mixtral 8x7b Dpo33K

Nous Hermes 2 Mixtral 8x7b Dpo has about 2× the context window of the other in this pair.

Token calculator →Memory savings →

Nous Hermes 2 Mixtral 8x7b Dpo has 100% more context capacity (32K vs 16K tokens). Mistral 7b Instruct V0 1 is 70% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Nous Hermes 2 Mixtral 8x7b Dpo. Its 32K context fits entire documents without chunking (vs 16K).

  • RAG / high-volume retrieval

    Use Mistral 7b Instruct V0 1. Input tokens are 70% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Nous Hermes 2 Mixtral 8x7b Dpo. 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.

SpecMistral 7b Instruct V0 1Nous Hermes 2 Mixtral 8x7b Dpo
Context window16,384 tokens (16K)32,768 tokens (32K)
Max output tokens16,384 tokens (16K)32,768 tokens (32K)
Speed tierFastFast
VisionNoNo
Function callingYesNo
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.

ProviderMistral 7b Instruct V0 1 inMistral 7b Instruct V0 1 outNous Hermes 2 Mixtral 8x7b Dpo inNous Hermes 2 Mixtral 8x7b Dpo out
Anyscale$0.150/M$0.150/M——
Cloudflare$1.92/M$1.92/M——
Fireworks——$0.500/M$0.500/M
Together Ai————

Frequently asked questions

Nous Hermes 2 Mixtral 8x7b Dpo has a larger context window: 32K tokens vs 16K. 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