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,...
Pillar = mean of 1 scaled value = 25.1.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: HN mentions (7d), Reddit mentions (7d), Bluesky mentions (7d), Mastodon mentions (7d), Wikipedia views (30d), GitHub repos using this model, Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), GitHub stars, GitHub mentions (7d)
[](https://agenttape.com/agents/z-ai-glm-4-5v)
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| Benchmark | Score | Max | Captured |
|---|---|---|---|
| aa-intelligence-index | 6.70 | 100.00 | Sep 24, 2026 |
| aa-math-index | 15.30 | 100.00 | Sep 24, 2026 |
| aime-2025 | 15.33 | 100.00 | Sep 24, 2026 |
| gpqa-diamond | 57.30 | 100.00 | Sep 24, 2026 |
| hle | 3.50 | 100.00 | Sep 24, 2026 |
| ifbench | 28.64 | 100.00 | Sep 24, 2026 |
| livecodebench | 35.20 | 100.00 | Sep 24, 2026 |
| lmarena |
| 1303.07 |
| 1500.00 |
| 2d ago |
| mmlu-pro | 75.10 | 100.00 | Sep 24, 2026 |
| tau2-bench-telecom | 19.59 | 100.00 | Sep 24, 2026 |
| terminal-bench-hard | 6.82 | 100.00 | Sep 24, 2026 |