NVIDIA Nemotron 3 Nano 30B vs Qwen3 Coder Next
nvidia/nemotron-3-nano-30b-a3b · qwen/qwen3-coder-next
As of November 3, 2026, NVIDIA Nemotron 3 Nano 30B is the cheaper API on UberLLM: $0.0007 per million input tokens and $0.0030 per million output, versus $0.0012 / $0.0079 for Qwen3 Coder Next, about 61% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose NVIDIA Nemotron 3 Nano 30B to cut cost; choose Qwen3 Coder Next when context size wins. Qwen3 Coder Next carries the larger context window (256,000 vs 128,000 tokens), which can matter for long-document work.
NVIDIA Nemotron 3 Nano 30B vs Qwen3 Coder Next, side by side
| Spec | NVIDIA Nemotron 3 Nano 30B | Qwen3 Coder Next |
|---|---|---|
| Price · input / 1M | $0.0007 | $0.0012 |
| Price · output / 1M | $0.0030 | $0.0079 |
| Context length | 128,000 | 256,000 |
| Max output tokens | 16,384 | 16,000 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| % off list | 99% off | 99% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 3, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
NVIDIA Nemotron 3 Nano 30B vs Qwen3 Coder Next — FAQ
Is NVIDIA Nemotron 3 Nano 30B or Qwen3 Coder Next cheaper?
NVIDIA Nemotron 3 Nano 30B is cheaper on a blended token mix, by about 61%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between NVIDIA Nemotron 3 Nano 30B and Qwen3 Coder Next?
NVIDIA Nemotron 3 Nano 30B: $0.0007 in / $0.0030 out per 1M tokens. Qwen3 Coder Next: $0.0012 in / $0.0079 out per 1M tokens. That's roughly a 61% blended difference. Prices are live; UberLLM adds no fee.
Can I use both NVIDIA Nemotron 3 Nano 30B and Qwen3 Coder Next with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.