Available now
NVIDIA

nemotron-3-ultra-550b-a55b

NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...

TextReasoningToolsOpen Weights1MCache262.1K
InputFree
OutputFree
Context262.1K
Endpointsopenai

Capabilities

ReasoningToolsCacheStructured

Modalities

Input
text
Output
text

Quick stats

Context window262.1K
Max output16.4K
TokenizerOther
Quantizationbf16

Performance

Loading performance data...

Supported parameters

ParameterAlwaysDefault
frequency_penalty(do not send)
include_reasoning-
logit_bias-
max_tokens-
min_p-
presence_penalty(do not send)
reasoning-
repetition_penalty(do not send)
response_format-
seed-
stop-
structured_outputs-
temperature1
tool_choice-
tools-
top_k(do not send)
top_p0.95
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Pricing

Input price$0.00 · 1M tokens
Output price$0.00 · 1M tokens
Context window262.1K tokens
Compatible endpointsopenai
VendorNVIDIA
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Call nemotron-3-ultra-550b-a55b from your code

Point any OpenAI-compatible SDK at UnoRouter and request the model by name. Replace YOUR_API_KEY with a real key from your dashboard.

bash
curl https://api.unorouter.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nemotron-3-ultra-550b-a55b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Sign in to auto-fill your API key

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Frequently asked questions

How much does nemotron-3-ultra-550b-a55b cost per 1M tokens?

Input is priced at $0.00 per 1M tokens, output at $0.00 per 1M tokens. Billing is per token, no rounding to batch sizes.

How do I access nemotron-3-ultra-550b-a55b via API?

Send requests to the UnoRouter /v1/chat/completions endpoint with model=nemotron-3-ultra-550b-a55b. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.

What is the context window of nemotron-3-ultra-550b-a55b?

nemotron-3-ultra-550b-a55b supports a context window of 262.1K tokens, shared between your prompt and the model's response.

§ 04

Similar models

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