API cost decision in 10 seconds

NewDeepSeek V4 Pro 0813 vs Nex-N2-Pro

Pick Nex-N2-Pro for lower cost; pick DeepSeek V4 Pro 0813 only if the larger context window matters more.

Page updated:  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 0813 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 $2.81 for DeepSeek V4 Pro 0813, saving $2.06 (73.3% lower).

Cost-first pickNex-N2-Pro
Context-first pickDeepSeek V4 Pro 0813
Sample savings$2.0673.3%
10x traffic gap$20.55

DeepSeek V4 Pro 0813 has more context, but Nex-N2-Pro saves $2.06 on the standard workload. At 10x that traffic, the same price gap is about $20.55. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nex-N2-Pro stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V4 Pro 0813Nex-N2-Pro
Input-heavy / RAG5M input + 500K outputNex-N2-Pro$7.29$1.75
Balanced workload1M input + 1M outputNex-N2-Pro$4.49$1.25
Output-heavy chatbot1M input + 5M outputNex-N2-Pro$17.95$5.25
Cheaper input Nex-N2-Pro $1.122 vs $0.25 / 1M

Nex-N2-Pro is $0.87 cheaper per 1M input tokens (77.7% lower; 4.49x difference).

Cheaper output Nex-N2-Pro $3.366 vs $1 / 1M

Nex-N2-Pro is $2.37 cheaper per 1M output tokens (70.3% lower; 3.37x difference).

Larger context DeepSeek V4 Pro 0813 1.05M vs 262.14K

DeepSeek V4 Pro 0813 has 786.43K more context (4x larger).

Sample workload Nex-N2-Pro $2.81 vs $0.75

Nex-N2-Pro is $2.06 cheaper on the standard workload (73.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4 Pro 0813 Calculating… Estimated API cost
Nex-N2-Pro Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

Nex-N2-Pro has the lower input price; Nex-N2-Pro has the lower output price; DeepSeek V4 Pro 0813 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 $2.81 for DeepSeek V4 Pro 0813 and $0.75 for Nex-N2-Pro.

Best Fit

Choose DeepSeek V4 Pro 0813 when you care most about larger context window.

Choose Nex-N2-Pro when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nex-N2-Pro is estimated at $0.75 vs $2.81 for DeepSeek V4 Pro 0813, saving $2.06 (73.3% lower).
  • Nex-N2-Pro is $2.06 cheaper on the standard workload (73.3% lower).
  • Nex-N2-Pro is $0.87 cheaper per 1M input tokens (77.7% lower; 4.49x difference).
  • Nex-N2-Pro is $2.37 cheaper per 1M output tokens (70.3% lower; 3.37x difference).
  • DeepSeek V4 Pro 0813 has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureNewDeepSeek V4 Pro 0813
(DeepSeek)
Nex-N2-Pro
(Nex AGI)
Input Price
prompt tokens per 1M
$1.122$0.25
Completion Price
per 1M tokens
$3.366$1
Sample Workload Cost
1M input + 500K output
$2.81$0.75
Context Window1.05M262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNex-N2-ProOn the standard 1M input plus 500K output workload, Nex-N2-Pro is estimated at $0.75 vs $2.81 for DeepSeek V4 Pro 0813, saving $2.06 (73.3% lower).
High-volume input processingNex-N2-ProLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNex-N2-ProLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V4 Pro 0813A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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DeepSeek catalog

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Nex AGI catalog

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DeepSeek V4 Pro 0813

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.

Nex-N2-Pro

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...