Side-by-side comparison
Nemotron Nano 9B V2 (free) vs Owl Alpha
NVIDIA
Nemotron Nano 9B V2 (free)
🔧 Tools
{} JSON
Input / 1M
$0.0000
Output / 1M
$0.0000
| Nemotron Nano 9B V2 (free) | Owl Alpha | |
|---|---|---|
| Provider | NVIDIA | Openrouter |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 128,000 | 1,048,756 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.0000 | 0.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.0000 | 0.0000 |
Frequently asked questions
Which is cheaper, Nemotron Nano 9B V2 (free) or Owl Alpha?
Nemotron Nano 9B V2 (free) is cheaper than Owl Alpha on a 50/50 input/output blend by about $0 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Nemotron Nano 9B V2 (free) or Owl Alpha?
Owl Alpha has the larger context window at 1M tokens versus 128k tokens for Nemotron Nano 9B V2 (free). That means Owl Alpha can ingest about 8.2x as much text per request.
What is the difference between Nemotron Nano 9B V2 (free) and Owl Alpha?
Nemotron Nano 9B V2 (free) comes from NVIDIA; Owl Alpha comes from Openrouter. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.