Gemini 4 Pro (Leaked Benchmark) vs MiniMax M3.1-Flash-Preview
A direct, empirical evaluation of Gemini 4 Pro (Leaked Benchmark) (Google DeepMind) against MiniMax M3.1-Flash-Preview (MiniMax).
Gemini 4 Pro (Leaked Benchmark)
Developed by Google DeepMind · Proprietary Omni-Modal Unified Diffusion Transformer parameters
Repository-scale 2M-token refactoring (88.7% DeepSWE v1.1), headless shell execution (95.3% Terminal-Bench 2.1), and multimodal desktop agent autonomy (86.8% OSWorld 2.0).
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.
| Metric | Gemini 4 Pro (Leaked Benchmark) | MiniMax M3.1-Flash-Preview |
|---|---|---|
| SWE-bench Verified | 88.7% | 73.8% |
| MMLU-Pro | 93.8% | 81.2% |
| MATH-500 | 97.8% | 92.4% |
| Context Window | 2,000,000 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $2.25 | $0.10 |
| Output Pricing (per 1M) | $11.25 | $0.40 |