Llama 3.3 Nemotron Super 49B V1.5
NVIDIA Llama 3.3 Nemotron Super 49B V1.5 — pricing, 131k context window, API cost calculator and alternatives.
By NVIDIA
Specs
- Provider
- NVIDIA
- Slug
- nvidia/llama-3-3-nemotron-super-49b-v1-5
- Capabilities
- tools, json_mode
Pricing freshness
- Tier
- standard
- Currency
- USD
- As of
- 2026-05-08 17:08 UTC
Pricing history
Tracking Llama 3.3 Nemotron Super 49B V1.5 pricing since 2026-05-08. We'll plot the chart here once it changes.
Quickstart — call Llama 3.3 Nemotron Super 49B V1.5 from your app
curl https://openrouter.ai/api/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-d '{
"model": "nvidia/llama-3-3-nemotron-super-49b-v1-5",
"messages": [{"role": "user", "content": "Hello!"}]
}'Official docs: https://openrouter.ai/docs
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=os.environ["OPENROUTER_API_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)Official docs: https://openrouter.ai/docs
// npm install openai
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const resp = await client.chat.completions.create({
model: "nvidia/llama-3-3-nemotron-super-49b-v1-5",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(resp.choices[0].message.content);Official docs: https://openrouter.ai/docs
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Frequently asked questions
What is Llama 3.3 Nemotron Super 49B V1.5?
Llama 3.3 Nemotron Super 49B V1.5 is a large language model API from NVIDIA with a 131k-token context window. It costs $0.1 per 1M input tokens and $0.4 per 1M output tokens.
How much does Llama 3.3 Nemotron Super 49B V1.5 cost?
Llama 3.3 Nemotron Super 49B V1.5 is priced at $0.1 per 1M input tokens and $0.4 per 1M output tokens via the NVIDIA API. A 50/50 input/output workload of 1M total tokens costs about $0.25.
What is the context window of Llama 3.3 Nemotron Super 49B V1.5?
Llama 3.3 Nemotron Super 49B V1.5 supports up to 131k tokens of context per request — roughly 262 pages of English text or 16384 lines of code at a typical density.
Does Llama 3.3 Nemotron Super 49B V1.5 support vision, tool use, or JSON mode?
Llama 3.3 Nemotron Super 49B V1.5 supports tool/function calling and structured JSON mode. It does not support image input (vision).
Who makes Llama 3.3 Nemotron Super 49B V1.5?
Llama 3.3 Nemotron Super 49B V1.5 is built and operated by NVIDIA. Pricing, context window, and capabilities on this page are refreshed nightly from NVIDIA's public catalog.
Can I self-host Llama 3.3 Nemotron Super 49B V1.5?
Llama 3.3 Nemotron Super 49B V1.5 is API-only — its weights are not publicly distributed by NVIDIA, so it cannot be self-hosted today.