NvidiaReleased on Dec 15, 2025

Nemotron 3 Nano (30B A3B): API Pricing, Context Window & Benchmarks

Nemotron 3 Nano (30B A3B) is a language model from Nvidia, released in December 2025, with a 262K-token context window, and pricing from $0.060/M input and $0.240/M output.

Nemotron 3 Nano is a 31.6B hybrid MoE model optimized for fast, long‑context agentic reasoning. It mixes Mamba‑2 and Transformer layers with a sparse MoE router (~3.6B active params per token) to deliver up to 4× higher throughput than

Input
Text
Output
Text

Nemotron 3 Nano (30B A3B) benchmarks

Rankings

Quality Tracker

Nemotron 3 Nano (30B A3B) Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Wed Aug 05 2026
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Nemotron 3 Nano (30B A3B) pricing

Providers

Nemotron 3 Nano (30B A3B) starts at $0.0600 per million input tokens and $0.240 per million output tokens via DeepInfra.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
DeepInfra logoDeepInfra
$0.0600$0.240262.1K/262.1K
8.59
321
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

Nemotron 3 Nano (30B A3B) model size

Nemotron 3 Nano (30B A3B) has 32 billion parameters and was trained on 25 trillion tokens. See how it compares to other models in the same parameter range.

ParametersTraining tokens
32BMoE
25Ttokens
781× tokens-to-params ratio
Large (30–80B)
32B
1B7B70B405B

Nemotron 3 Nano (30B A3B) context window

Input and output token limits for Nemotron 3 Nano (30B A3B), plus how it ranks on long-context understanding.

InputOutput
262Ktokens
262Ktokens
394 pages of text
262K
8K128K1M

Nemotron 3 Nano (30B A3B) API

POST/v1/chat/completions

Run a request to see the response

Use it in your code

Billed at $0.06 input / $0.24 output per 1M tokens through the LLM Stats gateway.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://gateway.llm-stats.com/v1"
)

response = client.chat.completions.create(
    model="nemotron-3-nano-30b-a3b",
    messages=[
        {"role": "user", "content": "What is machine learning?"}
    ]
)

print(response.choices[0].message.content)

Need an API key? Create one above in the playground, or read the API documentation.

Nemotron 3 Nano (30B A3B) latency

Nemotron 3 Nano (30B A3B) time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

Provider operational metrics

Time to first token, output throughput, and failed-request rate from live API traffic

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Nemotron 3 Nano (30B A3B) examples

Recent arena outputs from Nemotron 3 Nano (30B A3B), picked from the highest-ranked matchups.

Nemotron 3 Nano (30B A3B) license

Nemotron 3 Nano (30B A3B) is released under the NVIDIA Open Model License Agreement license, which permits commercial use, has 32.0B parameters, has a knowledge cutoff of November 2025.

License
NVIDIA Open Model License Agreement
Commercial use allowed
Parameters
32.0B
Knowledge cutoff
November 2025

NVIDIA Open Model License Agreement

Nemotron 3 Nano (30B A3B) resources

Official sources for Nemotron 3 Nano (30B A3B): official playground, paper or system card, official launch post, model weights.

Nemotron 3 Nano (30B A3B) vs other models

The most-compared alternatives to Nemotron 3 Nano (30B A3B) are GPT-5.1 Medium, GPT-5.1 High, GPT OSS 20B High. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Nemotron 3 Nano (30B A3B)

Models ranked just above and below Nemotron 3 Nano (30B A3B) by LLM Stats score.

 

GPT-5.1 Medium

Score pending
 

GPT-5.1 High

Score pending
 

GPT OSS 20B High

Score pending
 

LongCat-Flash-Thinking-2601

Score pending
 

o1

Score pending
 

Qwen3 VL 32B Instruct

Score pending

FAQ

Common questions about Nemotron 3 Nano (30B A3B).

When was Nemotron 3 Nano (30B A3B) released?

Nemotron 3 Nano (30B A3B) was released on December 15, 2025 by Nvidia. This is the official Nemotron 3 Nano (30B A3B) release date tracked on LLM Stats.

How much does Nemotron 3 Nano (30B A3B) cost?

Nemotron 3 Nano (30B A3B) costs $0.06 per million input tokens and $0.24 per million output tokens through the LLM Stats API, which works with any OpenAI-compatible SDK. Across tracked providers, the lowest price is $0.06 per million input tokens via DeepInfra.

Is Nemotron 3 Nano (30B A3B) available via API?

Yes. Nemotron 3 Nano (30B A3B) is available through the LLM Stats API and works with any OpenAI-compatible SDK — point your client at the gateway base URL and pass the model name. It is served by 1 provider tracked on LLM Stats.

How big is Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) has 32 billion parameters. It was trained on 25.0 trillion tokens. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) was created by Nvidia.

What is the license for Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) is released under the NVIDIA Open Model License Agreement license. This is an open-source / open-weight license that permits self-hosting.

What is the knowledge cutoff date for Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) has a knowledge cutoff of November 2025, meaning it was trained on data up to that point and may not know about events after it.

What is Nemotron 3 Nano (30B A3B) latency?

Nemotron 3 Nano (30B A3B) p95 time to first token is 8.59 seconds via DeepInfra over the trailing 7 days. Lower time to first token means the model begins responding sooner for chat, agents and API workloads.

Where can I use Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) is available through 1 provider including DeepInfra.

Where is the Nemotron 3 Nano (30B A3B) paper or technical report?

Nemotron 3 Nano (30B A3B) has a paper or technical report available at https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3-Nano-Technical-Report.pdf. Use that source for architecture, training, release and evaluation details.

What models should I compare Nemotron 3 Nano (30B A3B) against?

Common Nemotron 3 Nano (30B A3B) comparisons include Nemotron 3 Nano (30B A3B) vs GPT-5.1 Medium, Nemotron 3 Nano (30B A3B) vs GPT-5.1 High, Nemotron 3 Nano (30B A3B) vs GPT OSS 20B High. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.