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Nemotron 3 Embed 1B

Nemotron 3 embedding model for semantic search, clustering and reranking-style similarity scoring.

nvidia/nemotron-3-embed-1b
Running· verified 30 min ago · 130ms

What is Nemotron 3 Embed 1B?

Nemotron 3 Embed 1B is NVIDIA's embedding model. Nemotron 3 embedding model for semantic search, clustering and reranking-style similarity scoring. It runs on Speka's OpenAI-compatible /v1/embeddings endpoint at $0.012 per 1M input tokens, using the model ID nvidia/nemotron-3-embed-1b.

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Live playgroundNemotron 3 Embed 1Bin-browser demo

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How to call Nemotron 3 Embed 1B via the API

Speka exposes Nemotron 3 Embed 1B on an OpenAI-compatible /v1/embeddings endpoint. Point any OpenAI SDK at https://speka.me/v1, set model to nvidia/nemotron-3-embed-1b, 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.embeddings.create(
    model="nvidia/nemotron-3-embed-1b",
    input=["The quick brown fox"],
)
print(resp.data[0].embedding[:8])
FAQ

Frequently asked questions

Nemotron 3 Embed 1B is NVIDIA's embedding model. Nemotron 3 embedding model for semantic search, clustering and reranking-style similarity scoring. It is available on Speka's OpenAI-compatible API using the model ID nvidia/nemotron-3-embed-1b.
On Speka, Nemotron 3 Embed 1B is priced at $0.012 per 1M input 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 3 Embed 1B on an OpenAI-compatible /v1/embeddings endpoint. Set base_url to https://speka.me/v1, supply your Speka key, and set model to "nvidia/nemotron-3-embed-1b" in any OpenAI SDK — no other code changes are required.
Nemotron 3 Embed 1B supports a 8,192-token context window — roughly 6,000 words of input, suitable for long documents, multi-turn agents, and large-context tasks.
Yes. Nemotron 3 Embed 1B 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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