AI Tools Review

Z.AI: GLM 4.5V

By Z Ai

Released: 2025-08-11

API
LLM
RAG
Z Ai
Paid
New

Z AI Glm 4 5V, developed by Zhipu AI (Z.AI), features 106B parameters, MoE architecture and 66k-token context window. GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding, image Q&A, OCR, and document parsing, with strong gains in front-end web coding, grounding, and spatial reasoning. It offers a hybrid inference mode: a "thinking mode" for deep reasoning and a "non-thinking mode" for fast responses. Reasoning behaviour can be toggled via the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config) Premium pricing at $0.6/1M tokens reflects its advanced capabilities.

Visit Z.AI: GLM 4.5V

AI-Powered

Leverages advanced AI technology to deliver cutting-edge capabilities and results.

Fast & Efficient

Optimized performance ensures quick results without compromising on quality.

Purpose-Built

Specifically designed for llms tasks and workflows.

Z Ai Model Timeline

Z.AI: GLM 4.7 Flash

200k tokens context

Z.AI: GLM 4.7

203k tokens context

Z.AI: GLM 4.6V

131k tokens context

Z.AI: GLM 4.6

203k tokens context

Z.AI: GLM 4.6 (exacto)

205k tokens context

Z.AI: GLM 4.5VCurrent

66k tokens context

Z.AI: GLM 4.5

131k tokens context

Z.AI: GLM 4.5 Air (free)

131k tokens context

Z.AI: GLM 4.5 Air

131k tokens context

Z.AI: GLM 4 32B

128k tokens context

Specifications

pricing$0.60 / $1.80 (per 1M)
context Window66k tokens

AI Evaluation

4.8
Expert Rating
Text4.9/5
Coding3.5/5

Optimized for programming tasks, this model excels at code generation, debugging, and software engineering workflows with solid benchmark performance.

Pros

  • Large-scale 106B architecture
  • Strong code generation and debugging
  • Advanced logical reasoning
  • Image and visual analysis

Cons

  • Moderate API costs
  • Requires substantial compute
  • May lack creative flair