TestKey.ai logo
TestKey.ai
KEY CHECKER & MODEL MARKET
You are hereHome
Model comparison

DeepSeek V3.2 vs DeepSeek R1 0528

Not a benchmark table. This puts pricing, context, interface fit, and key visibility into one decision card.

Provider
DeepSeek / DeepSeek
DeepSeek
Context
163.8K / 163.8K
text->text / text->text
Input price
$0.26 / $0.45
per 1M tokens
Output price
$0.38 / $2.15
per 1M tokens
Left model
DeepSeek V3.2
DeepSeek
FamilyDeepSeek
Modalitytext->text

中国站主力通用模型,适合成本敏感的企业与渠道场景。

Right model
DeepSeek R1 0528
DeepSeek
FamilyR1
Modalitytext->text

推理能力强,是中国站高热度推理模型入口之一。

Comparison summary

How to choose first

This is an internal DeepSeek comparison, so the main question is tier, cost, context, and capability rather than provider switching.

On the listed price snapshot, DeepSeek V3.2 is cheaper on combined input and output, but real routing, discounts, and limits still matter.

When context is similar, compare output quality, API stability, limits, and actually callable models first.

Decision boundary

Do not start with which model is absolutely stronger. Start with the boundary: cost, context, speed, quality, ecosystem, or supply stability.

  • DeepSeek V3.2 is worth checking first when the DeepSeek family, 163.8K context, and text->text capability match the job.
  • DeepSeek R1 0528 is worth checking first when the R1 family, 163.8K context, and text->text capability match the job.

Key checking route

If you already hold a key, the valuable check is provider identity, callable models, and whether balance, limits, or subscription status are visible.

  • DeepSeek: DeepSeek V3.2, DeepSeek, text->text
  • DeepSeek: DeepSeek R1 0528, R1, text->text

Commercial fit

Commercially, do not look at model names alone. Combine price, limits, region, upstream stability, and ongoing monitoring.

  • DeepSeek V3.2: 中国站主力通用模型,适合成本敏感的企业与渠道场景。
  • DeepSeek R1 0528: 推理能力强,是中国站高热度推理模型入口之一。