Compare Nemotron Nano 9B V2 from Nvidia and Qwen3 30B A3B Thinking 2507 from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.


Nemotron Nano 9B V2 and Qwen3 30B A3B Thinking 2507 are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
Nemotron Nano 9B V2, from Nvidia, has a 32,000-token context window and is priced by the provider serving it on OpenRouter.
Qwen3 30B A3B Thinking 2507, from Qwen, has a 81,920-token context window and is priced at $0.20/M tokens input, $2.40/M tokens output on OpenRouter.
| Nemotron Nano 9B V2 | Qwen3 30B A3B Thinking 2507 | |
|---|---|---|
| Input price | Pricing varies by provider | $0.20/M tokens |
| Output price | Pricing varies by provider | $2.40/M tokens |
| Context window | 32,000 tokens | 81,920 tokens |
| Intelligence Index | 7.4 | 9.8 |
| Coding Index | Not available | 12.1 |
| Agentic Index | Not available | 0.9 |
| Latency (p50) | Not available | 0.31 s |
| Throughput (p50) | Not available | 124.0 tok/s |
Qwen3 30B A3B Thinking 2507 has the longer context window at 81,920 tokens, compared with 32,000 tokens for Nemotron Nano 9B V2.