API cost decision in 10 seconds
DeepSeek V3.1 Nex N1 vs 🔥DeepSeek V3.2
Pick DeepSeek V3.1 Nex N1 when budget is the priority.
Budget verdict
Pick DeepSeek V3.1 Nex N1 when budget is the priority.
On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $0.44 for DeepSeek V3.2, saving $0.06 (12.7% lower).
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.56. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors DeepSeek V3.1 Nex N1, balanced workload favors DeepSeek V3.2, and output-heavy chatbot favors DeepSeek V3.2.
| Workload shape | Token mix | Better pick | DeepSeek V3.1 Nex N1 | DeepSeek V3.2 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek V3.1 Nex N1 | $0.93 | $1.45 |
| Balanced workload | 1M input + 1M output | DeepSeek V3.2 | $0.64 | $0.63 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V3.2 | $2.63 | $2.14 |
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
DeepSeek V3.1 Nex N1 has the lower input price, DeepSeek V3.2 has the lower output price, and Tie offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.39 for DeepSeek V3.1 Nex N1 and $0.44 for DeepSeek V3.2.
Choose DeepSeek V3.1 Nex N1 when you care most about lower input-token price.
Choose DeepSeek V3.2 when you care most about lower output-token price.
| Feature | DeepSeek V3.1 Nex N1 (Nex AGI) | 🔥DeepSeek V3.2 (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.14 | $0.25 |
| Completion Price per 1M tokens | $0.5 | $0.38 |
| Sample Workload Cost 1M input + 500K output | $0.39 | $0.44 |
| Context Window | 131.07K | 131.07K |
| Release Date | 2025-12-08 | 2025-12-01 |
| Popularity | #8 |
DeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series — a post-trained model designed to highlight agent autonomy, tool use, and real-world productivity. Nex-N1 demonstrates competitive performance across...
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V3.1 Nex N1 | On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $0.44 for DeepSeek V3.2, saving $0.06 (12.7% lower). |
| High-volume input processing | DeepSeek V3.1 Nex N1 | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | DeepSeek V3.2 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages and source files. |