GLM-5-3 (Flagship) vs TypeSafe AI Jev
A direct, empirical evaluation of GLM-5-3 (Flagship) (Zhipu AI & THUDM) against TypeSafe AI Jev (TypeSafe AI (Diogo Almeida)).
GLM-5-3 (Flagship)
Developed by Zhipu AI & THUDM · 744B parameters
Complex algorithmic reasoning, multi-step code synthesis, and long-horizon tool execution.
TypeSafe AI Jev
Developed by TypeSafe AI (Diogo Almeida) · Non-Autoregressive System 1 Transformer parameters
Sub-15ms operational tasks, 100% schema-valid JSON extraction, deterministic tool dispatch, and high-throughput agent routing.
| Metric | GLM-5-3 (Flagship) | TypeSafe AI Jev |
|---|---|---|
| SWE-bench Verified | 54.8% | 68.4% |
| MMLU-Pro | 78.4% | 84.6% |
| MATH-500 | 93.6% | 91.2% |
| Context Window | 256,000 tokens | 32,000 tokens |
| Input Pricing (per 1M) | $0.55 | $0.06 |
| Output Pricing (per 1M) | $2.19 | $0.12 |