Z.ai: GLM 4.5
Analysis Summary
GLM 4.5 from Z.ai is a capable model with verified benchmark data showing strong coding performance: a livecodebench score of 0.738 places it competitively, and its agentic index of 32.5 supports multi-step tool-use workflows. GPQA at 0.782 and MMLU Pro at 0.835 confirm solid general reasoning depth.
For businesses, GLM 4.5 is well-suited to coding pipelines, agentic automation, and structured content tasks. Long-context reasoning (lcr 0.48) and instruction following (ifbench 0.44) are above average, making it viable for document-heavy workflows. The 131K context window is adequate for most business use cases.
At $0.60 input and $2.20 output, pricing is moderate. The -4 point regional accessibility adjustment applies given provider availability considerations. Teams prioritising coding and agentic capability at a reasonable price point will find GLM 4.5 a strong performer, though businesses should verify API availability in their region before committing.
Assessed June 30, 2026
Editorial notes
Z.ai GLM 4.5 delivers strong coding and agentic performance with an intelligence index of 19.5, livecodebench of 0.738, and agentic index of 32.5, backed by tool use and function calling.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Z.ai: GLM 4.5 compares
Z.ai: GLM 4.5 ranks #145 of 385 AI models we track for overall intelligence, #139 of 293 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. At $0.60 per million input tokens it is cheaper than 32% of comparable models.
About Z.ai: GLM 4.5
GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Z.ai: GLM 4.5 stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
z-ai/glm-4.5
|
| Provider | z-ai |
| Release Date | July 25, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 98,304 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.60 | $0.000600 |
| Output | $2.20 | $0.002200 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
External Resources
Explore Related Models
Frequently asked questions about Z.ai: GLM 4.5
How much does Z.ai: GLM 4.5 cost?
Z.ai: GLM 4.5 costs $0.60 per million input tokens and $2.20 per million output tokens.
What is the context window of Z.ai: GLM 4.5?
Z.ai: GLM 4.5 has a context window of 131,072 tokens (131K).
What can Z.ai: GLM 4.5 do?
Z.ai: GLM 4.5 supports tool use and function calling.
Who created Z.ai: GLM 4.5?
Z.ai: GLM 4.5 is developed by Z.ai and was released on July 25, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 30, 2026 9:37 pm