Side-by-side comparison
DeepSeek V3.2 Exp vs DeepSeek V3.1 Nex N1
DeepSeek
DeepSeek V3.2 Exp
🔧 Tools
{} JSON
Input / 1M
$0.2700
Output / 1M
$0.4100
Nex AGI
DeepSeek V3.1 Nex N1
🔧 Tools
{} JSON
Input / 1M
$0.1350
Output / 1M
$0.5000
| DeepSeek V3.2 Exp | DeepSeek V3.1 Nex N1 | |
|---|---|---|
| Provider | DeepSeek | Nex AGI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 163,840 | 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 → | 0.2700 | 0.1350 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.4100 | 0.5000 |
Frequently asked questions
Which is cheaper, DeepSeek V3.2 Exp or DeepSeek V3.1 Nex N1?
DeepSeek V3.1 Nex N1 is cheaper than DeepSeek V3.2 Exp on a 50/50 input/output blend by about $0.0225 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, DeepSeek V3.2 Exp or DeepSeek V3.1 Nex N1?
DeepSeek V3.2 Exp has the larger context window at 164k tokens versus 131k tokens for DeepSeek V3.1 Nex N1. That means DeepSeek V3.2 Exp can ingest about 1.3x as much text per request.
What is the difference between DeepSeek V3.2 Exp and DeepSeek V3.1 Nex N1?
DeepSeek V3.2 Exp comes from DeepSeek; 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.