GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading... (description from the OpenRouter listing)
| Benchmark | Domain | Score | vs best recorded | Setting | Run | Source |
|---|---|---|---|---|---|---|
| CL-bench | long-context | 18.7% | 67% | — | — | External ↗ |
| Chess Puzzles | games | 10.0% ±3.0 | 14% | — | 12 Feb 2026 | Eval log ↗ |
| FrontierMath-Tier-4-2025-07-01-Privatesuperseded | math | 2.1% ±2.1 | 4% | — | 19 Feb 2026 | Epoch ↗ |
| Terminal Bench | agents | 52.4% ±2.6 | 62% | agent: Terminus 2 | 11 Feb 2026 | External ↗ |
| ARC-AGI-2 | reasoning | 4.9% | 5% | — | — | External ↗ |
| FrontierMath-2025-02-28-Privatesuperseded | math | 16.4% ±2.2 | 31% | — | 19 Feb 2026 | Epoch ↗ |
| WeirdML | coding | 48.2% ±0.0 | 51% | — | — | External ↗ |
| OTIS Mock AIME 2024-2025 | math | 80.0% ±6.0 | 80% | — | 12 Feb 2026 | Eval log ↗ |
| SimpleBench | reasoning | 53.2% | 65% | — | — | External ↗ |
| SWE-Bench verified | coding | 72.1% ±2.1 | 86% | — | 15 Feb 2026 | Eval log ↗ |
| GPQA diamond | science | 87.8% ±2.3 | 92% | — | 12 Feb 2026 | Eval log ↗ |
| ARC-AGI | reasoning | 44.7% | 45% | — | — | External ↗ |
Source: Epoch AI Benchmarking Hub (CC BY 4.0). “External” rows are leaderboard results Epoch collects from third parties. Best reported setting per benchmark is shown.
8 observations (OpenRouter listing + Internet Archive snapshots). History accumulates with every ingest run; a single point means no change has been observed yet.