Compare / Kimi K2.7 Code vs GLM 5.2
Kimi K2.7 Code vs GLM 5.2
14 results from 3 sources that measured both models. Each row is in the source's own units; there is no overall winner.
| Benchmark | Metric | Kimi K2.7 Code | GLM 5.2 |
|---|---|---|---|
| Artificial Analysisreported | Artificial Analysis Coding Indexindex score | 60.8 | 68.8 |
| Artificial Analysisreported | Artificial Analysis Intelligence Indexindex score | 25.8 | 33.7 |
| Artificial Analysisreported | GPQA Diamond% of questions | 89.6% | 89.5% |
| Artificial Analysisreported | Humanity's Last Exam% of questions | 35.0% | 41.1% |
| Artificial Analysisreported | IFBench% of instructions | 63.1% | 73.3% |
| Artificial Analysisreported | Long-context reasoning (AA-LCR)% of questions | 79.3% | 78.3% |
| Artificial Analysisreported | SciCode% of problems | 47.8% | 51.2% |
| Artificial Analysisreported | Terminal-Bench 2.1% of tasks | 67.4% | 77.9% |
| Artificial Analysisreported | Terminal-Bench 4.0% of tasks | 1.0% | 1.0% |
| Artificial Analysisreported | Terminal-Bench Hard% of tasks | 44.7% | 50.8% |
| Artificial Analysisreported | Τ-bench banking% of tasks | 20.2% | 34.6% |
| Artificial Analysisreported | Τ²-bench telecom% of tasks | 90.1% | 99.1% |
| SimpleQA Verified (Epoch AI)reported | Correct answers% of questions | 36.5% | 34.2% |
| Vending-Bench 2reported | Money after a yearUS dollars | $5,082.94 | $8,313.78 |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.