Side-by-side comparison
Nemotron Nano 12B 2 VL (free) vs CoBuddy (free)
NVIDIA
Nemotron Nano 12B 2 VL (free)
👁 Vision
🔧 Tools
Input / 1M
$0.0000
Output / 1M
$0.0000
| Nemotron Nano 12B 2 VL (free) | CoBuddy (free) | |
|---|---|---|
| Provider | NVIDIA | Baidu Qianfan |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 128,000 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools | tools |
| 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 12B 2 VL (free) or CoBuddy (free)?
Nemotron Nano 12B 2 VL (free) is cheaper than CoBuddy (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 Nano 12B 2 VL (free) or CoBuddy (free)?
CoBuddy (free) has the larger context window at 131k tokens versus 128k tokens for Nemotron Nano 12B 2 VL (free). That means CoBuddy (free) can ingest about 1.0x as much text per request.
What is the difference between Nemotron Nano 12B 2 VL (free) and CoBuddy (free)?
Nemotron Nano 12B 2 VL (free) comes from NVIDIA; CoBuddy (free) comes from Baidu Qianfan. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.