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nemotron-3-nano-30b-a3bNVIDIA

in /1Mfreeinput tokens
out /1Mfreeoutput tokens
context262Ktokens
trainingyeson your prompts
api
chat
hosting
US
model lab
NVIDIA
weights
open
added
December 2025
model id
nvidia/nemotron-3-nano-30b-a3b

capabilities 2/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

2 providers serve nemotron-3-nano-30b-a3b. This page is one of them. Compare all endpoints

pricing

no markup
input
free
output
free
cache write
-
cache read
-

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K outfree
1M in + 100K outfree
10M in + 1M outfree

Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing

provider price, passed throughper 1M tokens

measured

through Sep 12

no measured traffic for this endpoint yet. pricing above is the provider's own

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
Math Index91.0
AIME 202591.0
MMLU Pro79.4
GPQA Diamond75.7
LiveCodeBench74.1
τ²-Bench40.9
SciCode30.6
Coding Index14.4
Terminal-Bench Hard13.6
Humanity's Last Exam11.4
Intelligence Index8.9
11 evalsmean48.3

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2025-12-15.

policy

data terms
retention
yes
trains on prompts
yes
hosted in
US

Terms are the provider's, not Requesty's: routing a request here puts it under them. NVIDIA Privacy Policy

Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.

quickstart

openai compatible
nvidia/nemotron-3-nano-30b-a3b

this id pins the nvidia deployment, with no routing and no failover. the managed id on the canonical page routes across all 2 providers instead

main.py
from openai import OpenAI client = OpenAI(    api_key="YOUR_REQUESTY_API_KEY",    base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create(    model="nvidia/nemotron-3-nano-30b-a3b",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(response.choices[0].message.content)

Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models

notes

reference

NVIDIA Nemotron 3 Nano 30B-A3B is a small language MoE model offering high compute efficiency and accuracy for building specialized agentic AI systems. Fully open weights, datasets, and recipes. Text in/out, up to 256K context.

questions 6

How much does nemotron-3-nano-30b-a3b cost?
nemotron-3-nano-30b-a3b is priced at free per million input tokens and free per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of nemotron-3-nano-30b-a3b?
nemotron-3-nano-30b-a3b has a context window of 262K tokens. That is roughly 350 words of input you can fit in a single prompt.
How does nemotron-3-nano-30b-a3b perform on benchmarks?
nemotron-3-nano-30b-a3b scores 91.0% on Math Index, 91.0% on AIME 2025, 79.4% on MMLU Pro. The benchmarks pane shows every published result, each normalised to 100.
What can nemotron-3-nano-30b-a3b do?
nemotron-3-nano-30b-a3b supports tool calling, extended reasoning. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use nemotron-3-nano-30b-a3b with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "nvidia/nemotron-3-nano-30b-a3b". The quickstart pane shows Python, JavaScript and cURL snippets.
Can I run nemotron-3-nano-30b-a3b through Requesty?
Yes. nemotron-3-nano-30b-a3b runs through Requesty's OpenAI-compatible API, served from NVIDIA. You do not host the model yourself: point base_url at Requesty, set the model to "nvidia/nemotron-3-nano-30b-a3b", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

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call nemotron-3-nano-30b-a3b through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology

nemotron-3-nano-30b-a3bnvidiain free /1Mout free /1Mctx 262Khosted US2 providers serve this model