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Model comparison

DeepSeek R1 0528 vs DeepSeek V3.1

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

Provider
DeepSeek / DeepSeek
DeepSeek
Context
163.8K / 128K
text->text / text->text
Input price
$0.45 / $0.20
per 1M tokens
Output price
$2.15 / $0.30
per 1M tokens
Left 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。

Right model
DeepSeek V3.1
DeepSeek
FamilyDeepSeek
Modalitytext->text

适合做价格带和版本代际对比。

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 V3.1 is cheaper on combined input and output, but real routing, discounts, and limits still matter.

DeepSeek R1 0528 has the larger context window, which helps with long documents, knowledge bases, logs, and multi-turn workflows.

Decision boundary

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

  • DeepSeek R1 0528 is worth checking first when the R1 family, 163.8K context, and text->text capability match the job.
  • DeepSeek V3.1 is worth checking first when the DeepSeek family, 128K 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 R1 0528, R1, text->text
  • DeepSeek: DeepSeek V3.1, DeepSeek, text->text

Commercial fit

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

  • DeepSeek R1 0528: 推理能力强,是中国站高热度推理模型入口之一。
  • DeepSeek V3.1: 适合做价格带和版本代际对比。