Side-by-side comparison
Qwen3 30B A3B vs DeepSeek V3.1 Nex N1
Nex AGI
DeepSeek V3.1 Nex N1
🔧 Tools
{} JSON
Input / 1M
$0.1350
Output / 1M
$0.5000
| Qwen3 30B A3B | DeepSeek V3.1 Nex N1 | |
|---|---|---|
| Provider | Qwen | Nex AGI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 40,960 | 131,072 |
| 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 → | 0.0900 | 0.1350 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.4500 | 0.5000 |
Frequently asked questions
Which is cheaper, Qwen3 30B A3B or DeepSeek V3.1 Nex N1?
Qwen3 30B A3B is cheaper than DeepSeek V3.1 Nex N1 on a 50/50 input/output blend by about $0.0475 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, Qwen3 30B A3B or DeepSeek V3.1 Nex N1?
DeepSeek V3.1 Nex N1 has the larger context window at 131k tokens versus 41k tokens for Qwen3 30B A3B. That means DeepSeek V3.1 Nex N1 can ingest about 3.2x as much text per request.
What is the difference between Qwen3 30B A3B and DeepSeek V3.1 Nex N1?
Qwen3 30B A3B comes from Qwen; DeepSeek V3.1 Nex N1 comes from Nex AGI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.