Z.ai: GLM 4.5V
Analysis Summary
Z.ai's GLM 4.5V, released in August 2025, is a multimodal model supporting text and image input with tool use and function calling. Its intelligence index of 15.1 and coding index of 10.9 place it in the lower-mid tier, though its math index of 73.0 and AIME score of 0.730 are strong for the class. LiveCodeBench at 0.604 confirms meaningful coding capability. The 65K context window is a notable limitation compared to competitors at similar price points.
For businesses, GLM 4.5V suits structured extraction, vision-enabled workflows, and math-heavy tasks where the context window constraint is not binding. Tool use and function calling enable basic agentic integration. However, the combination of a 65K context limit and $0.60 input / $1.80 output pricing makes it hard to justify against alternatives with larger windows and stronger reasoning at lower cost.
The -4 point regional penalty applies for provider accessibility. Teams with specific requirements for this model's capabilities may find use cases, but most business workflows will be better served by alternatives with more competitive pricing and larger context windows.
Assessed June 9, 2026
Editorial notes
Z.ai GLM 4.5V offers vision, tool use, and strong math benchmarks, but pricing is high relative to capability and the context window is limited at 65K tokens.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Z.ai: GLM 4.5V compares
Z.ai: GLM 4.5V ranks #232 of 378 AI models we track for overall intelligence, #227 of 315 for coding, #230 of 289 for agentic tasks. Its 66K-token context window is larger than 34% of the models we list. At $0.60 per million input tokens it is cheaper than 32% of comparable models.
About Z.ai: GLM 4.5V
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,..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Z.ai: GLM 4.5V stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
z-ai/glm-4.5v
|
| Provider | z-ai |
| Release Date | August 11, 2025 |
| Context Length | 65,536 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.60 | $0.000600 |
| Output | $1.80 | $0.001800 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Frequently asked questions about Z.ai: GLM 4.5V
How much does Z.ai: GLM 4.5V cost?
Z.ai: GLM 4.5V costs $0.60 per million input tokens and $1.80 per million output tokens.
What is the context window of Z.ai: GLM 4.5V?
Z.ai: GLM 4.5V has a context window of 65,536 tokens (66K).
Is Z.ai: GLM 4.5V good for coding?
On our coding benchmark index, Z.ai: GLM 4.5V ranks #227 of 315 models, placing it in the broader range of the field for code generation and debugging.
What can Z.ai: GLM 4.5V do?
Z.ai: GLM 4.5V supports image/vision input, tool use, and function calling.
Who created Z.ai: GLM 4.5V?
Z.ai: GLM 4.5V is developed by Z.ai and was released on August 11, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 11, 2026 8:38 pm