Gemini 4 Argon vs Xiaomi MiMo-V2.6 Flash
A direct, empirical evaluation of Gemini 4 Argon (Google DeepMind) against Xiaomi MiMo-V2.6 Flash (Xiaomi AI Lab).
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 Flash
Developed by Xiaomi AI Lab · 185 Billion (Sparse MoE) parameters
Low-latency agent loops, high-volume classification, and developer code completion.
| Metric | Gemini 4 Argon | Xiaomi MiMo-V2.6 Flash |
|---|---|---|
| SWE-bench Verified | 78.4% | 64.2% |
| MMLU-Pro | 93.6% | 82.4% |
| MATH-500 | 97.6% | 89.5% |
| Context Window | 2,000,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $1.20 | $0.04 |
| Output Pricing (per 1M) | $4.80 | $0.08 |