Z.ai: GLM 4.5 Rank
GLM 4.5 has an overall score of 58 out of 100, tied for rank 223 of 291. The published scores are price 61, context 44, and freshness 68. The overall score is their average. parameters and recency are not published and are left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 223 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 68 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 44 | 131K tokens, output 98.3K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 61 | $1 / 1M blended, $0.6 / 1M input, $2.2 / 1M output | AI Token Price |
222 listed models have a higher overall score. Among Z.ai models, it ranks 15 of 16.
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...
Higher overall scores
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Frequently asked questions
What is the GLM 4.5 rank?
GLM 4.5 has an overall score of 58 out of 100, tied for rank 223 of 291. The published scores are price 61, context 44, and freshness 68. The overall score is their average. parameters and recency are not published and are left out of the average.
Where does GLM 4.5 rank?
GLM 4.5 is tied for rank 223 of 291. 222 listed models have a higher overall score. Among Z.ai models, it ranks 15 of 16.
What scores make up GLM 4.5?
GLM 4.5 scores price 61 (AI Token Price), context 44 (AI Context Window), and freshness 68 (AI Knowledge Cutoff). The overall score of 58 is the average of those 3.