Nemotron Nano 9B V2 vs Qwen3 Coder 30B A3B Instruct
Nemotron Nano 9B V2
Qwen3 Coder 30B A3B Instruct
| Nemotron Nano 9B V2 | Qwen3 Coder 30B A3B Instruct | |
|---|---|---|
| Provider | NVIDIA | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 131,072 | 160,000 |
| 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 | 0.0700 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 0.1600 | 0.2700 |
Frequently asked questions
Which is cheaper, Nemotron Nano 9B V2 or Qwen3 Coder 30B A3B Instruct?
Nemotron Nano 9B V2 is cheaper than Qwen3 Coder 30B A3B Instruct on a 50/50 input/output blend by about $0.07 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.
Which has a larger context window, Nemotron Nano 9B V2 or Qwen3 Coder 30B A3B Instruct?
Qwen3 Coder 30B A3B Instruct has the larger context window at 160k tokens versus 131k tokens for Nemotron Nano 9B V2. That means Qwen3 Coder 30B A3B Instruct can ingest about 1.2x as much text per request.
What is the difference between Nemotron Nano 9B V2 and Qwen3 Coder 30B A3B Instruct?
Nemotron Nano 9B V2 comes from NVIDIA; Qwen3 Coder 30B A3B Instruct comes from Qwen. 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.