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Model comparison

Sonar Pro vs Yi Lightning

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

Provider
Perplexity / 01.AI / Yi
global / china
Context
200K / 200K
text+image->text / text->text
Input price
$3.00 / $0.18
per 1M tokens
Output price
$15.00 / $0.72
per 1M tokens
Left model
Sonar Pro
Perplexity
FamilySonar
Modalitytext+image->text

搜索与研究增强路线的代表产品,适合信息检索型场景。

Right 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。

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, 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.

  • Sonar Pro is worth checking first when the Sonar family, 200K context, and text+image->text capability match the job.
  • Yi Lightning 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.

  • Perplexity: Sonar Pro, Sonar, text+image->text
  • 01.AI / Yi: Yi Lightning, Yi, text->text

Commercial fit

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

  • Sonar Pro: 搜索与研究增强路线的代表产品,适合信息检索型场景。
  • Yi Lightning: 适合“国产高性价比模型”这类长尾入口。