Rank #11
Z.ai: GLM 5.2
- LLM
- 1.0M ctx
- 1M
- $0.66
Model · Vendors
Ranked models from this vendor or team on Global rankings (same data snapshot as the main global board).
Board snapshot:
Z.AI (Zhipu GLM) publishes GLM chat and coding models competitive in Chinese and bilingual benchmarks on OpenRouter. Track GLM ranks, long-context metrics, and snapshot pricing—Compare against Qwen, DeepSeek, and GPT lines.
Rank #11
| Rank | Name | Type | Key metric | 1M tokens (avg) |
|---|---|---|---|---|
| 11 | Z.ai: GLM 5.2 | LLM | 1.0M ctx | $0.66 |
| Rank | Name | Size | Price | Notes |
|---|---|---|---|---|
| — | Z.ai: GLM 4.5 | 131k ctx | $1.40/1M | z-ai/glm-4.5 |
| — | Z.ai: GLM 4.5 Air | 131k ctx | $0.49/1M | z-ai/glm-4.5-air |
| — | Z.ai: GLM 4.5V | 66k ctx | $1.20/1M | z-ai/glm-4.5v |
| — | Z.ai: GLM 4.6 | 205k ctx | $1.25/1M | z-ai/glm-4.6 |
| — | Z.ai: GLM 4.6V | 131k ctx | $0.60/1M | z-ai/glm-4.6v |
| — | Z.ai: GLM 4.7 | 205k ctx | $1.07/1M | z-ai/glm-4.7 |
| — | Z.ai: GLM 4.7 Flash | 203k ctx | $0.23/1M | z-ai/glm-4.7-flash |
| — | Z.ai: GLM 5 | 205k ctx | $1.75/1M | z-ai/glm-5 |
| — | Z.ai: GLM 5 Turbo | 203k ctx | $2.60/1M | z-ai/glm-5-turbo |
| — | Z.ai: GLM 5.1 | 205k ctx | $2.00/1M | z-ai/glm-5.1 |
| — | Z.ai: GLM 5.2 | 1.0M ctx | $0.66/1M | z-ai/glm-5.2 |
| — | Z.ai: GLM 5V Turbo | 203k ctx | $2.60/1M | z-ai/glm-5v-turbo |
Counts and prices come from the OpenRouter catalog snapshot merged with AI Hippo Global rankings (same snapshot as /rankings/). Rank reflects the composite score on that board—not LMSYS Chatbot Arena ELO. Snapshot date: 2026-08-02. Methodology
Z.ai: GLM 5.2 currently ranks #11 on AI Hippo's Global rankings board (snapshot 2026-08-02).
Across catalog and ranked rows, blended 1M-token prices range from $0.23 to $2.60 in the latest snapshot (2026-08-02). Check individual model pages for prompt vs completion splits.
1 of 12 catalog models appear on Global rankings; the remaining 11 are listed under catalog-only on this page.
Global rankings uses on-site weighting (context window first, then blended 1M-token price)—not third-party ELO. Full methodology: /en/methodology/