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Model comparison

Yi Lightning vs Yi Large Turbo

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

Provider
01.AI / Yi / 01.AI / Yi
01.AI / Yi
Context
200K / 200K
text->text / text->text
Input price
$0.18 / $0.30
per 1M tokens
Output price
$0.72 / $1.20
per 1M tokens
Left model
Yi Lightning
01.AI / Yi
FamilyYi
Modalitytext->text

适合“国产高性价比模型”这类长尾入口。

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 an internal 01.AI / Yi comparison, so the main question is tier, cost, context, and capability rather than provider switching.

On the listed price snapshot, Yi Lightning 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.

  • Yi Lightning is worth checking first when the Yi family, 200K 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.

  • 01.AI / Yi: Yi Lightning, Yi, 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.

  • Yi Lightning: 适合“国产高性价比模型”这类长尾入口。
  • Yi Large Turbo: 适合国产替代和成本带对比。