GLM-5.3 Edges GPT-5.6 Sol on Cost and Multi-Try Accuracy

A recent benchmark of language models GLM-5.3 and GPT-5.6 Sol on the DeepSWE software engineering test suite revealed notable trade-offs between precision and cost.

While GPT-5.6 Sol retains its edge in single-attempt accuracy, with a pass rate of 72.7%, GLM-5.3 closes the gap with a lead in multi-try accuracy (pass@4: 87.6% vs. 85.8%) and operates at half the cost per rollout ($3.99 vs. $8.37).

This makes GLM-5.3 a compelling choice for budget-sensitive or retry-tolerant use cases, particularly in high-volume or non-urgent applications.