NVIDIANVIDIA Nemotron 3 Nano 4B
NVIDIA develops the Nvidia Nemotron 3 Nano 4B BF 16, a small language model designed for unified reasoning and non-reasoning tasks, with capabilities including function calling, JSON mode, streaming, and text generation. It is particularly effective in tasks that require generating reasoning traces, which can be controlled via system prompts, and achieves notable scores, such as 91.1 on RULER (128k) and 88 on IFEval-Instruction.
Input
Output
Context
262K
Max Output
16K
Parameters
4B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Benchmarks
Resources & Links
Estimated GPU requirements for NVIDIA Nemotron 3 Nano 4B
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Frequently asked questions about NVIDIA Nemotron 3 Nano 4B
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
NVIDIA Nemotron 3 Nano 4B advertises a context window of 262,144 tokens, with a maximum output of 16,384 tokens in a single response. The figure is the creator's published maximum; a given provider may serve less, and the gateway routes on what each provider actually serves.
Yes. NVIDIA Nemotron 3 Nano 4B is an open-weight model released under the Other license, so the weights can be downloaded and self-hosted within that license's terms.
NVIDIA Nemotron 3 Nano 4B accepts Text and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
NVIDIA Nemotron 3 Nano 4B has published results from Artificial Analysis, shown by suite in the benchmarks card above exactly as the publisher reported them. Scores are not combined across suites, and a suite that has not measured NVIDIA Nemotron 3 Nano 4B is shown as not available rather than estimated.
Not on the managed pool today; NVIDIA Nemotron 3 Nano 4B is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
About 4.3 GB at INT8 for the weights and a default context, from the catalog's 4B parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, provider APIs and benchmark publishers, each tagged with its source.
Last updated: Nov 4, 2026
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