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Devstral Medium 2507 vs Nvidia Nemotron Nano 3 30b

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

Devstral Medium 2507

Tool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Nvidia

Model

Nvidia Nemotron Nano 3 30b

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.

Devstral Medium 2507128K
Nvidia Nemotron Nano 3 30b262K

Nvidia Nemotron Nano 3 30b has about 2× the context window of the other in this pair.

Nvidia Nemotron Nano 3 30b has 104% more context capacity (262K vs 128K tokens). Nvidia Nemotron Nano 3 30b is 85% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Nvidia Nemotron Nano 3 30b. Its 262K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Nvidia Nemotron Nano 3 30b. Input tokens are 85% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Devstral Medium 2507. Its 128K 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.

SpecDevstral Medium 2507Nvidia Nemotron Nano 3 30b
Context window128,000 tokens (128K)262,144 tokens (262K)
Max output tokens128,000 tokens (128K)8,192 tokens (8K)
Speed tierBalancedFast
VisionNoNo
Function callingYesYes
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.

ProviderDevstral Medium 2507 inDevstral Medium 2507 outNvidia Nemotron Nano 3 30b inNvidia Nemotron Nano 3 30b out
Aws Bedrock$0.060/M$0.240/M
Mistral$0.400/M$2.00/M

Frequently asked questions

Nvidia Nemotron Nano 3 30b has a larger context window: 262K tokens vs 128K. 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