Side-by-side comparison
Nemotron 3 Nano Omni (free) vs Gemma 4 31B (free)
NVIDIA
Nemotron 3 Nano Omni (free)
👁 Vision
🔧 Tools
Input / 1M
$0.0000
Output / 1M
$0.0000
Google
Gemma 4 31B (free)
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.0000
Output / 1M
$0.0000
| Nemotron 3 Nano Omni (free) | Gemma 4 31B (free) | |
|---|---|---|
| Provider | NVIDIA | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 256,000 | 262,144 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools | vision, 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 3 Nano Omni (free) or Gemma 4 31B (free)?
Nemotron 3 Nano Omni (free) is cheaper than Gemma 4 31B (free) 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 3 Nano Omni (free) or Gemma 4 31B (free)?
Gemma 4 31B (free) has the larger context window at 262k tokens versus 256k tokens for Nemotron 3 Nano Omni (free). That means Gemma 4 31B (free) can ingest about 1.0x as much text per request.
What is the difference between Nemotron 3 Nano Omni (free) and Gemma 4 31B (free)?
Nemotron 3 Nano Omni (free) comes from NVIDIA; Gemma 4 31B (free) comes from Google. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.