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Mistral Mixtral 8x7b Instruct vs Nvidia Nemotron 3 Nano 30b A3b

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 Mixtral 8x7b Instruct

Context window

32K

32,000 tokens · ~24K words

Model page
Nvidia

Model

Nvidia Nemotron 3 Nano 30b A3b

Tool calling

Context window

262K

262,144 tokens · ~197K 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 Mixtral 8x7b Instruct32K
Nvidia Nemotron 3 Nano 30b A3b262K

Nvidia Nemotron 3 Nano 30b A3b has about 8.2× the context window of the other in this pair.

Nvidia Nemotron 3 Nano 30b A3b has 719% more context capacity (262K vs 32K tokens). Nvidia Nemotron 3 Nano 30b A3b is 89% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Nvidia Nemotron 3 Nano 30b A3b. Its 262K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Nvidia Nemotron 3 Nano 30b A3b. Input tokens are 89% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Nvidia Nemotron 3 Nano 30b A3b. Its 262K 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 Mixtral 8x7b InstructNvidia Nemotron 3 Nano 30b A3b
Context window32,000 tokens (32K)262,144 tokens (262K)
Max output tokens8,191 tokens (8K)262,144 tokens (262K)
Speed tierFastFast
VisionNoNo
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
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 Mixtral 8x7b Instruct inMistral Mixtral 8x7b Instruct outNvidia Nemotron 3 Nano 30b A3b inNvidia Nemotron 3 Nano 30b A3b out
Aws Bedrock$0.590/M$0.910/M——
Nebius——$0.060/M$0.240/M

Frequently asked questions

Nvidia Nemotron 3 Nano 30b A3b has a larger context window: 262K 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.

Powered by Mem0

Use a smaller model.
Get better results.

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.

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