Gemini 3.7 Flash vs GLM-5.1
| model Gemini 3.7 Flash Google | model GLM-5.1 Zhipuai | |
|---|---|---|
| Context | 1M | 200K |
| Input $/M | — | $0.98 |
| Output $/M | — | $3.08 |
| Knowledge cutoff | 2026-03 | — |
| Available via | Gemini API (AI Studio) | OpenRouter |
| FrontierCode (score) | 43.6 | — |
| DeepSWE | 65.3% | — |
| Terminal-Bench (accuracy) | 85.8 | — |
| AutomationBench (accuracy) | 30.4 | — |
| GDP.pdf (accuracy) | 34 | — |
| GDM-MRCR (accuracy) | 97 | — |
| Artificial Analysis Coding Agent Index (average pass@1) | — | 52.7 |
| SWE-Atlas Codebase QnA (pass@1) | — | 73.2 |
| SWE-bench Pro (pass@1) | — | 19.8 |
| Terminal-Bench (pass@1) | — | 65.1 |