Requesty
DeepInfra Inc. logo
DeepInfra Inc.

nvidia/Nemotron-3-Nano-30B-A3B

NVIDIA Nemotron 3 Nano is an open small reasoning model optimized for fast, cost-efficient inference in agentic and production workloads. Built with a hybrid Mixture-of-Experts (MoE) and Mamba-Transformer architecture, it delivers strong multi-step reasoning, high token throughput, stable latency with predictable cost, and efficient deployment for agent-based systems. Designed for real-world AI systems where reasoning can generate significantly more tokens per prompt, Nemotron Nano reduces compu

🧠Reasoning🔧Tool calling
Try nvidia/Nemotron-3-Nano-30B-A3BCompareDocs

Specifications

Context window262K tokens
Max output—
API typechat
AddedMay 27, 2026
Model IDdeepinfra/nvidia/Nemotron-3-Nano-30B-A3B
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US
Privacy policyDeepInfra Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the DeepInfra Inc. models overview.

Pricing

Input / 1M
$0.05
Output / 1M
$0.20
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0070
1M input + 100K output$0.0700
10M input + 1M output$0.70

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to deepinfra/nvidia/Nemotron-3-Nano-30B-A3B.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
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="deepinfra/nvidia/Nemotron-3-Nano-30B-A3B",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other DeepInfra Inc. models

zai-org/GLM-5.1
203K ctx$1.05/1M
nvidia/NVIDIA-Nemotron-3-Super-120B-A12B
262K ctx$0.10/1M
moonshotai/Kimi-K2.6
262K ctx$0.75/1M
gemma-4-31B-it
262K ctx$0.13/1M
deepseek-ai/DeepSeek-V4-Pro
1.0M ctx$1.30/1M
deepseek-ai/DeepSeek-V4-Flash
1.0M ctx$0.10/1M

Frequently asked questions

How much does nvidia/Nemotron-3-Nano-30B-A3B cost?
nvidia/Nemotron-3-Nano-30B-A3B is priced at $0.05 per million input tokens and $0.20 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 nvidia/Nemotron-3-Nano-30B-A3B?
nvidia/Nemotron-3-Nano-30B-A3B has a context window of 262K tokens. That's roughly 350 words of input you can fit in a single prompt.
What can nvidia/Nemotron-3-Nano-30B-A3B do?
nvidia/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 nvidia/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 "deepinfra/nvidia/Nemotron-3-Nano-30B-A3B". The Quickstart above shows Python, JavaScript and cURL snippets.

Access nvidia/Nemotron-3-Nano-30B-A3B through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

Get started freeAll DeepInfra Inc. models