glm-5.3-flash
93.9%±2.2%
91.7%CI96.1%
aiqbench · LLM benchmarks
Benchmarks
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Filter by org:
Released:
glm-5.1
93.3%±3.8%
89.6%CI97.1%
glm-5.3
91.1%±3.5%
87.7%CI94.6%
One grid, every column. Pick axes in the Axes panel — one axis ranks like a single board, several blend into a weighted composite, all of them read as the index. Rank is assigned before any filter and never renumbers.
| Model | Org | ± CI | Swing | Add to compare | |||||
|---|---|---|---|---|---|---|---|---|---|
| 46 | glm-5.3-flash | Z.ai (Zhipu AI) | Aug 2026 | $0.05 / $0.20 | 93.9% | 91.7%–96.1% | #26–60 | ||
| 47 | glm-5.1 | Z.ai (Zhipu AI) | Apr 2026 | $0.97 / $3.04 | 93.3% | 89.6%–97.1% | #44–75 | ||
| 55 | glm-5.3 | Z.ai (Zhipu AI) | Aug 2026 | $0.08 / $1.80 | 91.1% | 87.7%–94.6% | #18–52 | ||
| 73 | glm-5.2 | Z.ai (Zhipu AI) | Jun 2026 | $0.62 / $2.42 | 86.4% | 82.2%–90.6% | #9–49 | ||
| 88 | glm-5 | Z.ai (Zhipu AI) | Feb 2026 | $1 / $3.20 | 80.0% | 74.0%–86.0% | #57–153 |
Showing AIME (math) exactly as the source published it — its own score and confidence interval, no blending. Select a second axis to build a weighted composite.