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Model comparison

Gemma 3 27B vs GLM 4.5V

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

Provider
Google / Zhipu AI (GLM)
global / china
Context
131.1K / 128K
text+image->text / text+image->text
Input price
$0.20 / $0.80
per 1M tokens
Output price
$0.60 / $2.80
per 1M tokens
Left model
Gemma 3 27B
Google
FamilyGemma
Modalitytext+image->text

开源路线里高质量的 Google 家族代表。

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, Gemma 3 27B is cheaper on combined input and output, but real routing, discounts, and limits still matter.

Gemma 3 27B 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.

  • Gemma 3 27B is worth checking first when the Gemma family, 131.1K context, and text+image->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.

  • Google: Gemma 3 27B, Gemma, text+image->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.

  • Gemma 3 27B: 开源路线里高质量的 Google 家族代表。
  • GLM 4.5V: 视觉理解场景和企业多模态流程的重要入口。