Gemini 4 Argon vs Xiaomi MiMo-V2.6 Pro
A direct, empirical evaluation of Gemini 4 Argon (Google DeepMind) against Xiaomi MiMo-V2.6 Pro (Xiaomi AI Lab (Fuli Luo)).
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.
Xiaomi MiMo-V2.6 Pro
Developed by Xiaomi AI Lab (Fuli Luo) · 1.02 Trillion (Sparse MoE) parameters
High-accuracy autonomous coding (71.9% DeepSWE), cybersecurity defense (94.0% CyberGym), multimodal document reasoning, and cost-effective agentic workflows.
| Metric | Gemini 4 Argon | Xiaomi MiMo-V2.6 Pro |
|---|---|---|
| SWE-bench Verified | 78.4% | 71.9% |
| MMLU-Pro | 93.6% | 89.2% |
| MATH-500 | 97.6% | 93.8% |
| Context Window | 2,000,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $1.20 | $0.10 |
| Output Pricing (per 1M) | $4.80 | $0.20 |