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Model comparison

GLM 4.5V vs ERNIE 4.5 Turbo

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

Provider
Zhipu AI (GLM) / Baidu Wenxin
china / china
Context
128K / 128K
text+image->text / text->text
Input price
$0.80 / $0.12
per 1M tokens
Output price
$2.80 / $0.40
per 1M tokens
Left 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。

Right model
ERNIE 4.5 Turbo
Baidu Wenxin
FamilyERNIE
Modalitytext->text

适合高频问答和中国企业助手场景。

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, ERNIE 4.5 Turbo 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.

  • GLM 4.5V is worth checking first when the GLM Vision family, 128K context, and text+image->text capability match the job.
  • ERNIE 4.5 Turbo is worth checking first when the ERNIE family, 128K 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.

  • Zhipu AI (GLM): GLM 4.5V, GLM Vision, text+image->text
  • Baidu Wenxin: ERNIE 4.5 Turbo, ERNIE, text->text

Commercial fit

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

  • GLM 4.5V: 视觉理解场景和企业多模态流程的重要入口。
  • ERNIE 4.5 Turbo: 适合高频问答和中国企业助手场景。