Context Window

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Mistral Small 3 vs Nemotron 3 120b A12b

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 Small 3

Tool calling

Context window

33K

32,768 tokens · ~25K words

Model page
Nvidia

Model

Nemotron 3 120b A12b

Tool calling

Context window

256K

256,000 tokens · ~192K 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 Small 333K
Nemotron 3 120b A12b256K

Nemotron 3 120b A12b has about 7.8× the context window of the other in this pair.

Token calculator →Memory savings →

Nemotron 3 120b A12b has 681% more context capacity (256K vs 32K tokens). Mistral Small 3 is 90% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Nemotron 3 120b A12b. Its 256K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Mistral Small 3. Input tokens are 90% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Nemotron 3 120b A12b. Its 256K 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 Small 3Nemotron 3 120b A12b
Context window32,768 tokens (32K)256,000 tokens (256K)
Max output tokens32,768 tokens (32K)256,000 tokens (256K)
Speed tierBalancedBalanced
VisionNoNo
Function callingYesYes
Extended thinkingNoYes
Prompt cachingNoNo
Batch APINoNo
Release dateJan 2025N/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 Small 3 inMistral Small 3 outNemotron 3 120b A12b inNemotron 3 120b A12b out
Cloudflare——$0.500/M$1.50/M
Deepinfra$0.050/M$0.080/M——
Fireworks$0.900/M$0.900/M——
Together Ai————

Frequently asked questions

Nemotron 3 120b A12b has a larger context window: 256K 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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Use a smaller model.
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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