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Model comparison

DeepSeek V3.1 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
128K / 128K
text->text / text+image->text
Input price
$0.20 / $0.45
per 1M tokens
Output price
$0.30 / $1.60
per 1M tokens
Left model
DeepSeek V3.1
DeepSeek
FamilyDeepSeek
Modalitytext->text

适合做价格带和版本代际对比。

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 V3.1 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 V3.1 is worth checking first when the DeepSeek family, 128K 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 V3.1, 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 V3.1: 适合做价格带和版本代际对比。
  • Step-1o Vision: 多模态方向的品牌词入口,适合中国模型库收录。