GPT-Image-2.5 (Sunburst) vs Xiaomi MiMo-V2.6 Pro
A direct, empirical evaluation of GPT-Image-2.5 (Sunburst) (OpenAI) against Xiaomi MiMo-V2.6 Pro (Xiaomi AI Lab (Fuli Luo)).
GPT-Image-2.5 (Sunburst)
Developed by OpenAI · Proprietary Multimodal DiT parameters
High-fidelity typographic rendering, raytracing reflection accuracy, sketch-to-image conditioning, and localized comment inpainting.
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 | GPT-Image-2.5 (Sunburst) | Xiaomi MiMo-V2.6 Pro |
|---|---|---|
| SWE-bench Verified | 62.4% | 71.9% |
| MMLU-Pro | 89.5% | 89.2% |
| MATH-500 | 91.2% | 93.8% |
| Context Window | Spatial Vector Token Canvas (1792×1024) | 128,000 tokens |
| Input Pricing (per 1M) | $2.50 | $0.10 |
| Output Pricing (per 1M) | $10.00 | $0.20 |