GPT-Image-2.5 (Sunburst) vs Qwen 4 Max (Leaked Staging)
A direct, empirical evaluation of GPT-Image-2.5 (Sunburst) (OpenAI) against Qwen 4 Max (Leaked Staging) (Alibaba Cloud).
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.
Qwen 4 Max (Leaked Staging)
Developed by Alibaba Cloud · 1.2 Trillion (Sparse MoE) parameters
Repository-scale software engineering outscoring GPT-6 Sol, multilingual enterprise agents across 120 languages, and low-cost 1M-token processing.
| Metric | GPT-Image-2.5 (Sunburst) | Qwen 4 Max (Leaked Staging) |
|---|---|---|
| SWE-bench Verified | 62.4% | 78.6% |
| MMLU-Pro | 89.5% | 91.4% |
| MATH-500 | 91.2% | 95.6% |
| Context Window | Spatial Vector Token Canvas (1792×1024) | 1,000,000 tokens |
| Input Pricing (per 1M) | $2.50 | $1.20 |
| Output Pricing (per 1M) | $10.00 | $4.80 |