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Model comparison

GPT-5.4 Mini vs GLM 5.1

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
400K / 202.8K
text+image+file->text / text->text
Input price
$0.75 / $1.40
per 1M tokens
Output price
$4.50 / $4.40
per 1M tokens
Left model
GPT-5.4 Mini
OpenAI
FamilyGPT-5.4
Modalitytext+image+file->text

高性价比主力通用模型,适合规模化生产环境。

Right model
GLM 5.1
Zhipu AI (GLM)
FamilyGLM
Modalitytext->text

智谱高阶通用路线代表,适合中国企业复杂推理场景。

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, GPT-5.4 Mini is cheaper on combined input and output, but real routing, discounts, and limits still matter.

GPT-5.4 Mini 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-5.4 Mini is worth checking first when the GPT-5.4 family, 400K context, and text+image+file->text capability match the job.
  • GLM 5.1 is worth checking first when the GLM family, 202.8K 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-5.4 Mini, GPT-5.4, text+image+file->text
  • Zhipu AI (GLM): GLM 5.1, GLM, text->text

Commercial fit

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

  • GPT-5.4 Mini: 高性价比主力通用模型,适合规模化生产环境。
  • GLM 5.1: 智谱高阶通用路线代表,适合中国企业复杂推理场景。