Gemini 4 Argon vs GPT-Image-2.5 (Sunburst)
A direct, empirical evaluation of Gemini 4 Argon (Google DeepMind) against GPT-Image-2.5 (Sunburst) (OpenAI).
Gemini 4 Argon
Developed by Google DeepMind · Frontier Coding & Security Engine on TPU v6e Ironclad parameters
Automated GitHub issue resolution (78.4% SWE-bench Verified), cybersecurity exploit auditing (91.4% CyberSecBench), 2M token context buffer, and aggressive $1.20/$4.80 API pricing.
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 Argon | GPT-Image-2.5 (Sunburst) |
|---|---|---|
| SWE-bench Verified | 78.4% | 62.4% |
| MMLU-Pro | 93.6% | 89.5% |
| MATH-500 | 97.6% | 91.2% |
| Context Window | 2,000,000 tokens | Spatial Vector Token Canvas (1792×1024) |
| Input Pricing (per 1M) | $1.20 | $2.50 |
| Output Pricing (per 1M) | $4.80 | $10.00 |