API cost decision in 10 seconds
DeepSeek V4.1 Flash (batch) vs Nex-N2-Pro (free)
Pick Nex-N2-Pro (free) for lower cost; pick DeepSeek V4.1 Flash (batch) only if the larger context window matters more.
Budget verdict
Pick Nex-N2-Pro (free) for lower cost; pick DeepSeek V4.1 Flash (batch) only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nex-N2-Pro (free) is estimated at $0 vs $0.28 for DeepSeek V4.1 Flash (batch), saving $0.28 (100% lower).
DeepSeek V4.1 Flash (batch) has more context, but Nex-N2-Pro (free) saves $0.28 on the standard workload. At 10x that traffic, the same price gap is about $2.8. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nex-N2-Pro (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V4.1 Flash (batch) | Nex-N2-Pro (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nex-N2-Pro (free) | $0.73 | $0 |
| Balanced workload | 1M input + 1M output | Nex-N2-Pro (free) | $0.45 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Nex-N2-Pro (free) | $1.79 | $0 |
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 (free) has the lower input price, Nex-N2-Pro (free) has the lower output price, and DeepSeek V4.1 Flash (batch) offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.28 for DeepSeek V4.1 Flash (batch) and $0 for Nex-N2-Pro (free).
Choose DeepSeek V4.1 Flash (batch) when you care most about larger context window.
Choose Nex-N2-Pro (free) when you care most about lower input-token price, and lower output-token price.
| Feature | DeepSeek V4.1 Flash (batch) (DeepSeek) | Nex-N2-Pro (free) (Nex AGI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.11 | $0 |
| Completion Price per 1M tokens | $0.34 | $0 |
| Sample Workload Cost 1M input + 500K output | $0.28 | $0 |
| Context Window | 1.05M | 262.14K |
| Release Date | 2026-09-10 | 2026-06-08 |
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
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...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nex-N2-Pro (free) | On the standard 1M input plus 500K output workload, Nex-N2-Pro (free) is estimated at $0 vs $0.28 for DeepSeek V4.1 Flash (batch), saving $0.28 (100% lower). |
| High-volume input processing | Nex-N2-Pro (free) | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Nex-N2-Pro (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4.1 Flash (batch) | A larger context window leaves more room for retrieved passages and source files. |