Nemotron Nano 9B V2 vs gpt-oss-20b
Nemotron Nano 9B V2
| Nemotron Nano 9B V2 | gpt-oss-20b | |
|---|---|---|
| Provider | NVIDIA | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 131,072 | 131,072 |
| 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 β | 0.0400 | 0.0300 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 0.1600 | 0.1400 |
Frequently asked questions
Which is cheaper, Nemotron Nano 9B V2 or gpt-oss-20b?
gpt-oss-20b is cheaper than Nemotron Nano 9B V2 on a 50/50 input/output blend by about $0.015 per 1M tokens. Exact savings depend on your input-vs-output ratio β use the cost calculator on this page for a workload-specific estimate.
What is the difference between Nemotron Nano 9B V2 and gpt-oss-20b?
Nemotron Nano 9B V2 comes from NVIDIA; gpt-oss-20b comes from OpenAI. They differ in pricing, context window, and supported capabilities β see the side-by-side table on this page for the exact figures, refreshed nightly.