Context Window

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Nvidia Nemotron 3 Nano 30b A3b vs Qwen3 14B

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.

Nvidia

Model

Nvidia Nemotron 3 Nano 30b A3b

Tool calling

Context window

262K

262,144 tokens · ~197K words

Model page
Alibaba

Model

Qwen3 14B

Tool calling

Context window

41K

40,960 tokens · ~31K 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.

Nvidia Nemotron 3 Nano 30b A3b262K
Qwen3 14B41K

Nvidia Nemotron 3 Nano 30b A3b has about 6.4× the context window of the other in this pair.

Token calculator →Memory savings →

Nvidia Nemotron 3 Nano 30b A3b has 540% more context capacity (262K vs 40K tokens). Nvidia Nemotron 3 Nano 30b A3b is 70% 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 40K).

  • RAG / high-volume retrieval

    Use Nvidia Nemotron 3 Nano 30b A3b. Input tokens are 70% 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.

SpecNvidia Nemotron 3 Nano 30b A3bQwen3 14B
Context window262,144 tokens (262K)40,960 tokens (40K)
Max output tokens262,144 tokens (262K)40,960 tokens (40K)
Speed tierFastBalanced
VisionNoNo
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesNo
Batch APINoNo
Release dateN/AApr 2025

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.

ProviderNvidia Nemotron 3 Nano 30b A3b inNvidia Nemotron 3 Nano 30b A3b outQwen3 14B inQwen3 14B out
Deepinfra——$0.120/M$0.240/M
Fireworks——$0.200/M$0.200/M
Nebius$0.060/M$0.240/M$0.080/M$0.240/M
Openrouter——$0.120/M$0.240/M

Frequently asked questions

Nvidia Nemotron 3 Nano 30b A3b has a larger context window: 262K tokens vs 40K. 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