GLM-5.1 vs GPT-5.6 Luna
| model GLM-5.1 Zhipuai | model GPT-5.6 Luna OpenAI | |
|---|---|---|
| Context | 200K | 1.1M |
| Input $/M | $0.98 | — |
| Output $/M | $3.08 | — |
| Knowledge cutoff | — | 2026-02 |
| Available via | OpenRouter | OpenAI API |
| 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 | — |
| SWE-bench Pro | — | 62.7% |
| Terminal-Bench (success rate) | — | 84.7 |
| DeepSWE | — | 67.2% |
| GPQA Diamond (accuracy) | — | 92.3 |
| FrontierMath (accuracy) | — | 78.6 |
| BrowseComp (accuracy) | — | 83.3 |