Llama 3.3 Nemotron Super 49B V1.5
NVIDIAReleased Oct 10, 2025
Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and...
- Context window
- 131K tokens
- Max output
- 16K tokens
- Input
- text
- Output
- text
- Tokenizer
- Llama3
- Knowledge cutoff
- Mar 31, 2024
- Released
- Oct 10, 2025
- Reasoning
- optional
Pricing
Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.
| Per 1M tokens | Provider | + 3% fee | You pay |
|---|---|---|---|
| Input | $0.400 | $0.012 | $0.412 |
| Output | $0.400 | $0.012 | $0.412 |
Supported parameters
- frequency_penalty
- include_reasoning
- logit_bias
- max_tokens
- min_p
- presence_penalty
- reasoning
- repetition_penalty
- response_format
- seed
- stop
- temperature
- tool_choice
- tools
- top_k
- top_p
Call it
OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model nvidia/llama-3.3-nemotron-super-49b-v1.5.
curl https://api.openkey.ai/v1/chat/completions \
-H "Authorization: Bearer $OPENKEY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "nvidia/llama-3.3-nemotron-super-49b-v1.5",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.openkey.ai/v1",
api_key=os.environ["OPENKEY_API_KEY"],
)
completion = client.chat.completions.create(
model="nvidia/llama-3.3-nemotron-super-49b-v1.5",
messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.openkey.ai/v1",
apiKey: process.env.OPENKEY_API_KEY,
});
const completion = await client.chat.completions.create({
model: "nvidia/llama-3.3-nemotron-super-49b-v1.5",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);Questions
- How much does Llama 3.3 Nemotron Super 49B V1.5 cost via API?
- Through OpenKey, Llama 3.3 Nemotron Super 49B V1.5 costs $0.412 per 1M input tokens and $0.412 per 1M output tokens. That is the provider price ($0.400 / $0.400) plus a flat 3% fee — nothing else.
- What is Llama 3.3 Nemotron Super 49B V1.5's context window?
- Llama 3.3 Nemotron Super 49B V1.5 accepts up to 131K tokens of context and returns up to 16K tokens per request.
- Is Llama 3.3 Nemotron Super 49B V1.5 OpenAI-compatible?
- Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "nvidia/llama-3.3-nemotron-super-49b-v1.5" using any OpenAI SDK — only the base URL and API key change.
- What inputs does Llama 3.3 Nemotron Super 49B V1.5 support?
- Llama 3.3 Nemotron Super 49B V1.5 accepts text input and produces text output. Its knowledge cutoff is Mar 31, 2024.
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