Side-by-side comparison
Ling-2.6-flash vs Nemotron 3 Nano 30B A3B
inclusionAI
Ling-2.6-flash
🔧 Tools
{} JSON
Input / 1M
$0.0800
Output / 1M
$0.2400
NVIDIA
Nemotron 3 Nano 30B A3B
🔧 Tools
{} JSON
Input / 1M
$0.0500
Output / 1M
$0.2000
| Ling-2.6-flash | Nemotron 3 Nano 30B A3B | |
|---|---|---|
| Provider | inclusionAI | NVIDIA |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 262,144 |
| 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 → | 0.0800 | 0.0500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.2400 | 0.2000 |
Frequently asked questions
Which is cheaper, Ling-2.6-flash or Nemotron 3 Nano 30B A3B?
Nemotron 3 Nano 30B A3B is cheaper than Ling-2.6-flash on a 50/50 input/output blend by about $0.035 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
What is the difference between Ling-2.6-flash and Nemotron 3 Nano 30B A3B?
Ling-2.6-flash comes from inclusionAI; Nemotron 3 Nano 30B A3B comes from NVIDIA. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.