nvidia/Nemotron-3-Nano-30B-A3B
DeepInfra Inc./🇺🇸 US/chat10% off
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 compuMoreLess
Which id to call
deepinfra/nvidia/Nemotron-3-Nano-30B-A3BThis exact deployment on DeepInfra Inc., with no routing and no failover. Send it as the model field.
Input /1M
$0.04
$0.05 list
DeepInfra Inc.
Output /1M
$0.18
$0.20 list
4.0x input
Context
262K
tokens
Added
Dec 2025
chat
Capabilities 2/8
Provider rates
What nvidia/Nemotron-3-Nano-30B-A3B costs
Provider prices per 1M tokens, updated August 25, 2026.moreless
These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.
This endpoint is discounted. List is $0.05 per 1M input and $0.20 per 1M output, and the rates below are what you pay. The discount applies to every request on this endpoint, with nothing to claim or enter.
Input /1M
$0.04
$0.05 list
Output /1M
$0.18
$0.20 list
Cache write /1M
-
Cache read /1M
-
What a workload costs
- 100K input + 10K output
- $0.0063
- 1M input + 100K output
- $0.0630
- 10M input + 1M output
- $0.63
At the rates above. This endpoint does not offer prompt caching, so repeated context is billed as new input every time.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to deepinfra/nvidia/Nemotron-3-Nano-30B-A3B. Existing OpenAI SDK code needs no other edit.
123456789101112131415from 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)
Reference
Specs and data terms
What the catalog reports for this deployment, and what the provider does with the traffic.
Public leaderboards
Benchmark scores
Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.
No benchmarks are published for this exact variant yet.
Region-specific deployments and highspeed tiers usually share scores with their base model. Try the base model page or the DeepInfra Inc. models overview.
Same provider
More from DeepInfra Inc.
Newest first, on the same provider and the same key.
Reference
nvidia/Nemotron-3-Nano-30B-A3B questions
How much does nvidia/Nemotron-3-Nano-30B-A3B cost?
nvidia/Nemotron-3-Nano-30B-A3B is priced at $0.04 per million input tokens and $0.18 per million output tokens when accessed via Requesty. Those figures include a 10% discount on this endpoint, off a list rate of $0.05 per million input tokens and $0.20 per million output tokens. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
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.
Can I run nvidia/Nemotron-3-Nano-30B-A3B through Requesty?
Yes. nvidia/Nemotron-3-Nano-30B-A3B runs through Requesty's OpenAI-compatible API, served from DeepInfra Inc.. You do not host the model yourself: point base_url at Requesty, set the model to "deepinfra/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.
Call nvidia/Nemotron-3-Nano-30B-A3B through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.