Llama Nemotron Embed Vl 1b v2 vs NVIDIA Nemotron Nano 9B v2
Live API pricing and availability, side by side. Both models run on FastInfra's OpenAI-compatible endpoint — switching between them is a one-line change.
Pricing
Price per 1M tokens
Prices are live and sync automatically from wholesale providers.
| Llama Nemotron Embed Vl 1b v2 | NVIDIA Nemotron Nano 9B v2 | |
|---|---|---|
| Input | $0.01 | $0.06 |
| Output | — | $0.26 |
| Default route | route-21 |
route-03 |
| Routes available | 1 | 1 |
On input tokens, Llama Nemotron Embed Vl 1b v2 is currently 6× cheaper than NVIDIA Nemotron Nano 9B v2 on FastInfra. Output-token pricing and quality trade-offs differ per workload — test both with the free tier.
Quickstart
Try both in 30 seconds
Same endpoint, same SDK — only the model string changes.
from openai import OpenAI
client = OpenAI(api_key="YOUR_API_KEY", base_url="https://api.fastinfra.ai/v1")
for model in ["nvidia/llama-nemotron-embed-vl-1b-v2", "nvidia/NVIDIA-Nemotron-Nano-9B-v2"]:
response = client.chat.completions.create(
model=model,
messages=[{"role": "user", "content": "Hello!"}]
)
print(model, "->", response.choices[0].message.content)