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Model comparison

Step-2 vs Yi Large Turbo

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

Provider
StepFun / 01.AI / Yi
china / china
Context
256K / 200K
text->text / text->text
Input price
$0.30 / $0.30
per 1M tokens
Output price
$1.20 / $1.20
per 1M tokens
Left model
Step-2
StepFun
FamilyStep
Modalitytext->text

中国新锐路线里具备代表性的主力模型。

Right model
Yi Large Turbo
01.AI / Yi
FamilyYi
Modalitytext->text

适合国产替代和成本带对比。

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.

The listed price band is close, so the real difference is more likely context, capability surface, rate limits, and supply stability.

Step-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.

  • Step-2 is worth checking first when the Step family, 256K context, and text->text capability match the job.
  • Yi Large Turbo is worth checking first when the Yi family, 200K 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.

  • StepFun: Step-2, Step, text->text
  • 01.AI / Yi: Yi Large Turbo, Yi, text->text

Commercial fit

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

  • Step-2: 中国新锐路线里具备代表性的主力模型。
  • Yi Large Turbo: 适合国产替代和成本带对比。