Gemini 4 Carbon vs GPT-Image-2.5 (Sunburst)
A direct, empirical evaluation of Gemini 4 Carbon (Google DeepMind) against GPT-Image-2.5 (Sunburst) (OpenAI).
Gemini 4 Carbon
Developed by Google DeepMind · Carbon-Aware Frontier Transformer on TPU v6e parameters
Sub-watt green computing, 62% energy reduction per million tokens, carbon-aware datagrid routing, and eco-tier batch execution discounts.
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.
| Metric | Gemini 4 Carbon | GPT-Image-2.5 (Sunburst) |
|---|---|---|
| SWE-bench Verified | 69.2% | 62.4% |
| MMLU-Pro | 84.6% | 89.5% |
| MATH-500 | 91.4% | 91.2% |
| Context Window | 1,000,000 tokens | Spatial Vector Token Canvas (1792×1024) |
| Input Pricing (per 1M) | $0.80 | $2.50 |
| Output Pricing (per 1M) | $2.40 | $10.00 |