Context Window

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Mistral Medium 3.5 vs Nemotron Lightning 3p5 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 Medium 3.5

Image inputTool calling

Context window

262K

262,144 tokens · ~197K words

Model page
Nvidia

Model

Nemotron Lightning 3p5 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 Medium 3.5262K
Nemotron Lightning 3p5 30b A3b262K

Same context window size for both models.

Token calculator →Memory savings →

Mistral Medium 3.5 and Nemotron Lightning 3p5 30b A3b have identical context windows (262K tokens). Nemotron Lightning 3p5 30b A3b is 96% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • RAG / high-volume retrieval

    Use Nemotron Lightning 3p5 30b A3b. Input tokens are 96% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Mistral Medium 3.5. Its 209K 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 Medium 3.5Nemotron Lightning 3p5 30b A3b
Context window262,144 tokens (262K)262,144 tokens (262K)
Max output tokens209,715 tokens (209K)32,768 tokens (32K)
Speed tierBalancedFast
VisionYesNo
Function callingYesYes
Extended thinkingYesYes
Prompt cachingNoYes
Batch APINoNo
Release dateApr 2026N/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 Medium 3.5 inMistral Medium 3.5 outNemotron Lightning 3p5 30b A3b inNemotron Lightning 3p5 30b A3b out
Fireworks——$0.050/M$0.200/M
Mistral$1.50/M$7.50/M——

Frequently asked questions

Nemotron Lightning 3p5 30b A3b has a larger context window: 262K tokens vs 262K. 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