Gemini 4 Pro (Projected) vs GLM-5-3 (Flagship)
A direct, empirical evaluation of Gemini 4 Pro (Projected) (Google DeepMind) against GLM-5-3 (Flagship) (Zhipu AI & THUDM).
Gemini 4 Pro (Projected)
Developed by Google DeepMind · Proprietary Omni-Modal Unified Diffusion Transformer parameters
Repository-scale 10M-token refactoring, automated formal theorem proving, parametric SVG and 3D GLTF asset synthesis, and zero-hallucination execution.
GLM-5-3 (Flagship)
Developed by Zhipu AI & THUDM · 744B parameters
Complex algorithmic reasoning, multi-step code synthesis, and long-horizon tool execution.
| Metric | Gemini 4 Pro (Projected) | GLM-5-3 (Flagship) |
|---|---|---|
| SWE-bench Verified | 75.8% | 54.8% |
| MMLU-Pro | 92.4% | 78.4% |
| MATH-500 | 97.2% | 93.6% |
| Context Window | 2,000,000 - 10,000,000 tokens | 256,000 tokens |
| Input Pricing (per 1M) | $1.50 | $0.55 |
| Output Pricing (per 1M) | $7.50 | $2.19 |