Nex-N2-Pro is $0.15 cheaper per 1M input tokens (37% lower; 1.59x difference).
API cost decision in 10 seconds
🔥DeepSeek V4 Pro 0423 vs Nex-N2-Pro
Pick Nex-N2-Pro for lower cost; pick DeepSeek V4 Pro 0423 only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Nex-N2-Pro for lower cost; pick DeepSeek V4 Pro 0423 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nex-N2-Pro is estimated at $0.75 vs $0.79 for DeepSeek V4 Pro 0423, saving $0.04 (5.5% lower).
Cost-first pickNex-N2-Pro
Context-first pickDeepSeek V4 Pro 0423
Sample savings$0.045.5%
10x traffic gap$0.44
DeepSeek V4 Pro 0423 has more context, but Nex-N2-Pro saves $0.04 on the standard workload. At 10x that traffic, the same price gap is about $0.44. 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 Nex-N2-Pro, balanced workload favors DeepSeek V4 Pro 0423, and output-heavy chatbot favors DeepSeek V4 Pro 0423.
| Workload shape | Token mix | Better pick | DeepSeek V4 Pro 0423 | Nex-N2-Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nex-N2-Pro | $2.38 | $1.75 |
| Balanced workload | 1M input + 1M output | DeepSeek V4 Pro 0423 | $1.19 | $1.25 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V4 Pro 0423 | $4.37 | $5.25 |
DeepSeek V4 Pro 0423 is $0.21 cheaper per 1M output tokens (20.6% lower; 1.26x difference).
DeepSeek V4 Pro 0423 has 786.43K more context (4x larger).
Nex-N2-Pro is $0.04 cheaper on the standard workload (5.5% lower).
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
Nex-N2-Pro has the lower input price; DeepSeek V4 Pro 0423 has the lower output price; DeepSeek V4 Pro 0423 offers the larger context window. For the 1M input plus 500K output sample, Nex-N2-Pro is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.79 for DeepSeek V4 Pro 0423 and $0.75 for Nex-N2-Pro.
Choose DeepSeek V4 Pro 0423 when you care most about lower output-token price, and larger context window.
Choose Nex-N2-Pro when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, Nex-N2-Pro is estimated at $0.75 vs $0.79 for DeepSeek V4 Pro 0423, saving $0.04 (5.5% lower).
- Nex-N2-Pro is $0.04 cheaper on the standard workload (5.5% lower).
- Nex-N2-Pro is $0.15 cheaper per 1M input tokens (37% lower; 1.59x difference).
- DeepSeek V4 Pro 0423 is $0.21 cheaper per 1M output tokens (20.6% lower; 1.26x difference).
- DeepSeek V4 Pro 0423 has 786.43K more context (4x larger).
| Feature | 🔥DeepSeek V4 Pro 0423 (DeepSeek) | Nex-N2-Pro (Nex AGI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.3969 | $0.25 |
| Completion Price per 1M tokens | $0.7938 | $1 |
| Sample Workload Cost 1M input + 500K output | $0.79 | $0.75 |
| Context Window | 1.05M | 262.14K |
| Release Date | ||
| Popularity | #10 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nex-N2-Pro | On the standard 1M input plus 500K output workload, Nex-N2-Pro is estimated at $0.75 vs $0.79 for DeepSeek V4 Pro 0423, saving $0.04 (5.5% lower). |
| High-volume input processing | Nex-N2-Pro | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | DeepSeek V4 Pro 0423 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 Pro 0423 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- DeepSeek V4 Flash (free) can replace DeepSeek V4 Pro 0423 when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash 0423 can replace DeepSeek V4 Pro 0423 when lower sample workload cost matters most: $0.1.
- DeepSeek V4 Flash 0731 can replace DeepSeek V4 Pro 0423 when lower sample workload cost matters most: $0.17.
- R1 Distill Qwen 32B can replace DeepSeek V4 Pro 0423 when lower sample workload cost matters most: $0.43.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open largest context modelsProvider catalogs
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Open provider hubsDeepSeek catalog
Review all tracked DeepSeek models before deciding whether this matchup is the right shortlist.
Open DeepSeek modelsNex AGI catalog
Check other Nex AGI models with comparable pricing, context, or release timing.
Open Nex AGI modelsDeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces...