Gemini 4 Argon vs GLM-5-3 (Flagship)
A direct, empirical evaluation of Gemini 4 Argon (Google DeepMind) against GLM-5-3 (Flagship) (Zhipu AI & THUDM).
Gemini 4 Argon
Developed by Google DeepMind · Frontier Coding & Security Engine on TPU v6e Ironclad parameters
Automated GitHub issue resolution (78.4% SWE-bench Verified), cybersecurity exploit auditing (91.4% CyberSecBench), 2M token context buffer, and aggressive $1.20/$4.80 API pricing.
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 Argon | GLM-5-3 (Flagship) |
|---|---|---|
| SWE-bench Verified | 78.4% | 54.8% |
| MMLU-Pro | 93.6% | 78.4% |
| MATH-500 | 97.6% | 93.6% |
| Context Window | 2,000,000 tokens | 256,000 tokens |
| Input Pricing (per 1M) | $1.20 | $0.55 |
| Output Pricing (per 1M) | $4.80 | $2.19 |