Side-by-side comparison · models
GLM 4.5V vs GLM 4.6
What we have checked about each, line by line. Every value shows where it came from and when we last confirmed it.
Models
GLM 4.5V
GLM-4.5V is a vision-language foundation model for multimodal agent applications.
Models
GLM 4.6
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model.
Checked facts
Line by line
| Measure | GLM 4.5V | GLM 4.6 |
|---|---|---|
| Input price | $0.600 per million tokens | $0.500 per million tokens |
| Output price | $1.80 per million tokens | $2.00 per million tokens |
| Price on deepinfra | Not checked yet | $0.080 per million cached input tokens |
| Price on deepinfra | Not checked yet | $0.400 per million input tokens |
| Price on deepinfra | Not checked yet | $1.60 per million output tokens |
| Price on novita | Not checked yet | $0.110 per million cached input tokens |
| Price on novita | Not checked yet | $0.550 per million input tokens |
| Price on novita | Not checked yet | $2.20 per million output tokens |
| Price on venice | Not checked yet | $0.080 per million cached input tokens |
| Price on venice | Not checked yet | $0.430 per million input tokens |
| Price on venice | Not checked yet | $1.75 per million output tokens |
| Price on z-ai | Not checked yet | $0.110 per million cached input tokens |
| Price on z-ai | Not checked yet | $0.600 per million input tokens |
| Price on z-ai | Not checked yet | $2.20 per million output tokens |
| Latest version | z-ai/glm-4.5v | z-ai/glm-4.6 |
| Time to first token (ms) | 3,280 | 2,860 |
| Output speed (tokens a second) | 61.4 | 36.4 |
| Time to first token (ms) on deepinfra | Not checked yet | 3,826 |
| Time to first token (ms) on novita | Not checked yet | 5,070 |
| Time to first token (ms) on venice | Not checked yet | 1,449 |
| Time to first token (ms) on z-ai | Not checked yet | 4,378 |
| Output speed (tokens a second) on deepinfra | Not checked yet | 34 |
| Output speed (tokens a second) on novita | Not checked yet | 27 |
| Output speed (tokens a second) on venice | Not checked yet | 30 |
| Output speed (tokens a second) on z-ai | Not checked yet | 28 |
| Tokens served on OpenRouter in a day | 16.3M (for 10 Nov 2026) | 2.3B (for 10 Nov 2026) |
| Tool calls on OpenRouter in a day | 199 (for 10 Nov 2026) | 35.9K (for 10 Nov 2026) |
| Artificial Analysis Intelligence Index | 7.6 | 18.5 |
| LMArena text rating (Elo) | 1,333 | 1,440 |
| LMArena vision rating (Elo) | 1,154 | Not checked yet |
| Artificial Analysis Coding Index | Not checked yet | 45.8 |
| LMArena web development rating (Elo) | Not checked yet | 1,342 |
| Design Arena rating (Elo) | Not checked yet | 1,180 |
| Terminal bench | Not checked yet | 24.5% (for 30 Sept 2025) |
| Frontiermath 2025 02 28 private | Not checked yet | 3.8% (for 30 Sept 2025) |
| Frontiermath tier 4 2025 07 01 private | Not checked yet | 2.1% (for 30 Sept 2025) |
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