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reasoningNVIDIA

Nemotron Nano 9B

Compact reasoning model that punches above its weight on math and coding benchmarks. Fast and cheap.

nvidia/nvidia-nemotron-nano-9b-v2
Running· verified 4 min ago · 617ms

What is Nemotron Nano 9B?

Nemotron Nano 9B is NVIDIA's reasoning model. Compact reasoning model that punches above its weight on math and coding benchmarks. Fast and cheap. It runs on Speka's OpenAI-compatible /v1/chat/completions endpoint at $0.10 / 1M input and $0.10 / 1M output tokens, using the model ID nvidia/nvidia-nemotron-nano-9b-v2.

Test it live

Live playgroundNemotron Nano 9Bin-browser demo

Test Nemotron Nano 9B live

Send a message and watch the model respond. Multi-turn — it remembers the conversation.

How to call Nemotron Nano 9B via the API

Speka exposes Nemotron Nano 9B on an OpenAI-compatible /v1/chat/completions endpoint. Point any OpenAI SDK at https://speka.me/v1, set model to nvidia/nvidia-nemotron-nano-9b-v2, and your existing code runs unchanged.

quickstart.py
from openai import OpenAI

client = OpenAI(
    base_url="https://speka.me/v1",
    api_key="sk-speka-live-...",  # your Speka key
)

resp = client.chat.completions.create(
    model="nvidia/nvidia-nemotron-nano-9b-v2",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)
FAQ

Frequently asked questions

Nemotron Nano 9B is NVIDIA's reasoning model. Compact reasoning model that punches above its weight on math and coding benchmarks. Fast and cheap. It is available on Speka's OpenAI-compatible API using the model ID nvidia/nvidia-nemotron-nano-9b-v2.
On Speka, Nemotron Nano 9B is priced at $0.10 / 1M input and $0.10 / 1M output tokens. Pricing is per-token with no subscription or seat fee — usage is billed against your plan's monthly allowance, then at the same rate with no overage penalty. Rates are current as of June 2026; check the pricing page for updates.
Speka exposes Nemotron Nano 9B on an OpenAI-compatible /v1/chat/completions endpoint. Set base_url to https://speka.me/v1, supply your Speka key, and set model to "nvidia/nvidia-nemotron-nano-9b-v2" in any OpenAI SDK — no other code changes are required.
Nemotron Nano 9B supports a 128,000-token context window — roughly 96,000 words of input, suitable for long documents, multi-turn agents, and large-context tasks.
Yes. Nemotron Nano 9B is served through Speka's OpenAI-compatible endpoint, so any application built on the OpenAI Python or Node.js SDK, LangChain, or LlamaIndex can call it by changing only the base URL and model ID.

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