MiniMax M3.1-Flash-Preview vs Nano Banana 3 Pro
A direct, empirical evaluation of MiniMax M3.1-Flash-Preview (MiniMax) against Nano Banana 3 Pro (Google DeepMind).
MiniMax M3.1-Flash-Preview
Developed by MiniMax · Proprietary Sparse Coding MoE parameters
Low-latency interactive IDE code completions at 165 tokens/sec, SWE-bench Verified bug fixes (73.8%), terminal automation, and budget-optimized pull request reviews.
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 | MiniMax M3.1-Flash-Preview | Nano Banana 3 Pro |
|---|---|---|
| SWE-bench Verified | 73.8% | 58.6% |
| MMLU-Pro | 81.2% | 74.2% |
| MATH-500 | 92.4% | 82.5% |
| Context Window | 1,000,000 tokens | 131,072 tokens |
| Input Pricing (per 1M) | $0.10 | $0.00 |
| Output Pricing (per 1M) | $0.40 | $0.00 |