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Nemotron Super 49B

NVIDIA's reasoning-tuned Nemotron model — strong math, logic and agentic tool-use at an efficient size.

nvidia/llama-3.3-nemotron-super-49b-v1.5
Running· verified 4 min ago · 1513ms

What is Nemotron Super 49B?

Nemotron Super 49B is NVIDIA's reasoning model. NVIDIA's reasoning-tuned Nemotron model — strong math, logic and agentic tool-use at an efficient size. It runs on Speka's OpenAI-compatible /v1/chat/completions endpoint at $0.35 / 1M input and $0.40 / 1M output tokens, using the model ID nvidia/llama-3.3-nemotron-super-49b-v1.5.

Test it live

Live playgroundNemotron Super 49Bin-browser demo

Test Nemotron Super 49B live

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

How to call Nemotron Super 49B via the API

Speka exposes Nemotron Super 49B on an OpenAI-compatible /v1/chat/completions endpoint. Point any OpenAI SDK at https://speka.me/v1, set model to nvidia/llama-3.3-nemotron-super-49b-v1.5, 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/llama-3.3-nemotron-super-49b-v1.5",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)
FAQ

Frequently asked questions

Nemotron Super 49B is NVIDIA's reasoning model. NVIDIA's reasoning-tuned Nemotron model — strong math, logic and agentic tool-use at an efficient size. It is available on Speka's OpenAI-compatible API using the model ID nvidia/llama-3.3-nemotron-super-49b-v1.5.
On Speka, Nemotron Super 49B is priced at $0.35 / 1M input and $0.40 / 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 Super 49B 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/llama-3.3-nemotron-super-49b-v1.5" in any OpenAI SDK — no other code changes are required.
Nemotron Super 49B 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 Super 49B 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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