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Model comparison

DeepSeek V3.2 vs Step-1o Vision

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

Provider
DeepSeek / StepFun
china / china
Context
163.8K / 128K
text->text / text+image->text
Input price
$0.26 / $0.45
per 1M tokens
Output price
$0.38 / $1.60
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
Step-1o Vision
StepFun
FamilyStep Vision
Modalitytext+image->text

多模态方向的品牌词入口,适合中国模型库收录。

Comparison summary

How to choose first

This is a cross-provider comparison. Start with the job boundary, then verify what your key can actually see.

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

DeepSeek V3.2 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 V3.2 is worth checking first when the DeepSeek family, 163.8K context, and text->text capability match the job.
  • Step-1o Vision is worth checking first when the Step Vision family, 128K context, and text+image->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
  • StepFun: Step-1o Vision, Step Vision, text+image->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。
  • Step-1o Vision: 多模态方向的品牌词入口,适合中国模型库收录。