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Model comparison

GLM 4.5V vs Step-2

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

Provider
Zhipu AI (GLM) / StepFun
china / china
Context
128K / 256K
text+image->text / text->text
Input price
$0.80 / $0.30
per 1M tokens
Output price
$2.80 / $1.20
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
Step-2
StepFun
FamilyStep
Modalitytext->text

中国新锐路线里具备代表性的主力模型。

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, Step-2 is cheaper on combined input and output, but real routing, discounts, and limits still matter.

Step-2 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.

  • GLM 4.5V is worth checking first when the GLM Vision family, 128K context, and text+image->text capability match the job.
  • Step-2 is worth checking first when the Step family, 256K 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
  • StepFun: Step-2, Step, 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。
  • Step-2: 中国新锐路线里具备代表性的主力模型。