GLM-5-3 (Flagship) vs Nano Banana 3 Pro
A direct, empirical evaluation of GLM-5-3 (Flagship) (Zhipu AI & THUDM) against Nano Banana 3 Pro (Google DeepMind).
GLM-5-3 (Flagship)
Developed by Zhipu AI & THUDM · 744B parameters
Complex algorithmic reasoning, multi-step code synthesis, and long-horizon tool execution.
Nano Banana 3 Pro
Developed by Google DeepMind · 2.8 Billion Parameters parameters
Zero-latency mobile on-device reasoning, 82ms TTFT, offline audio-visual tool execution, and local Android system integration.
| Metric | GLM-5-3 (Flagship) | Nano Banana 3 Pro |
|---|---|---|
| SWE-bench Verified | 54.8% | 58.6% |
| MMLU-Pro | 78.4% | 74.2% |
| MATH-500 | 93.6% | 82.5% |
| Context Window | 256,000 tokens | 131,072 tokens |
| Input Pricing (per 1M) | $0.55 | $0.00 |
| Output Pricing (per 1M) | $2.19 | $0.00 |