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Model comparison

GPT-5.5 vs GLM 4.5V

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

Provider
OpenAI / Zhipu AI (GLM)
global / china
Context
1M / 128K
text+image+file->text / text+image->text
Input price
$5.00 / $0.80
per 1M tokens
Output price
$30.00 / $2.80
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
GLM 4.5V
Zhipu AI (GLM)
FamilyGLM Vision
Modalitytext+image->text

视觉理解场景和企业多模态流程的重要入口。

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, GLM 4.5V 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.
  • GLM 4.5V is worth checking first when the GLM 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.

  • OpenAI: GPT-5.5, GPT-5.5, text+image+file->text
  • Zhipu AI (GLM): GLM 4.5V, GLM Vision, text+image->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。
  • GLM 4.5V: 视觉理解场景和企业多模态流程的重要入口。