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Model comparison

GPT-5.5 vs Yi Lightning

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

Provider
OpenAI / 01.AI / Yi
global / china
Context
1M / 200K
text+image+file->text / text->text
Input price
$5.00 / $0.18
per 1M tokens
Output price
$30.00 / $0.72
per 1M tokens
Left model
GPT-5.5
OpenAI
FamilyGPT-5.5
Modalitytext+image+file->text

当前主推旗舰模型,适合复杂推理、编码、多工具企业工作流。

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.

GPT-5.5 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.

  • GPT-5.5 is worth checking first when the GPT-5.5 family, 1M context, and text+image+file->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.

  • OpenAI: GPT-5.5, GPT-5.5, text+image+file->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.

  • GPT-5.5: 当前主推旗舰模型,适合复杂推理、编码、多工具企业工作流。
  • Yi Lightning: 适合“国产高性价比模型”这类长尾入口。