API cost decision in 10 seconds
DeepSeek V4.1 Flash (batch) vs Nex-N2-Pro
Pick DeepSeek V4.1 Flash (batch) when budget and context both matter.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick DeepSeek V4.1 Flash (batch) when budget and context both matter.
On the standard 1M input plus 500K output workload, DeepSeek V4.1 Flash (batch) is estimated at $0.28 vs $0.75 for Nex-N2-Pro, saving $0.47 (62.7% lower).
Cost-first pickDeepSeek V4.1 Flash (batch)
Context-first pickDeepSeek V4.1 Flash (batch)
Sample savings$0.4762.7%
10x traffic gap$4.7
DeepSeek V4.1 Flash (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4.7. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
DeepSeek V4.1 Flash (batch) 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 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek V4.1 Flash (batch) | $0.73 | $1.75 |
| Balanced workload | 1M input + 1M output | DeepSeek V4.1 Flash (batch) | $0.45 | $1.25 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V4.1 Flash (batch) | $1.79 | $5.25 |
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 V4.1 Flash (batch) has the lower input price, DeepSeek V4.1 Flash (batch) 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 $0.75 for Nex-N2-Pro.
Choose DeepSeek V4.1 Flash (batch) when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Nex-N2-Pro when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
| Feature | DeepSeek V4.1 Flash (batch) (DeepSeek) | Nex-N2-Pro (Nex AGI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.11 | $0.25 |
| Completion Price per 1M tokens | $0.34 | $1 |
| Sample Workload Cost 1M input + 500K output | $0.28 | $0.75 |
| 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 | DeepSeek V4.1 Flash (batch) | On the standard 1M input plus 500K output workload, DeepSeek V4.1 Flash (batch) is estimated at $0.28 vs $0.75 for Nex-N2-Pro, saving $0.47 (62.7% lower). |
| High-volume input processing | DeepSeek V4.1 Flash (batch) | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | DeepSeek V4.1 Flash (batch) | 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. |