Claude Sonnet 5.5 vs GPT-Image-2.5 (Sunburst)
A direct, empirical evaluation of Claude Sonnet 5.5 (Anthropic) against GPT-Image-2.5 (Sunburst) (OpenAI).
Claude Sonnet 5.5
Developed by Anthropic · Proprietary Frontier Dynamic Hybrid Reasoner parameters
Terminal-Bench 4.0 execution (70.6%), SWE-bench Verified coding (82.4%), GitHub Copilot multi-file edits, and low-latency autonomous agentic coding at $2/$10 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 | Claude Sonnet 5.5 | GPT-Image-2.5 (Sunburst) |
|---|---|---|
| SWE-bench Verified | 82.4% | 62.4% |
| MMLU-Pro | 88.4% | 89.5% |
| MATH-500 | 95.2% | 91.2% |
| Context Window | 1,000,000 tokens | Spatial Vector Token Canvas (1792×1024) |
| Input Pricing (per 1M) | $2.00 | $2.50 |
| Output Pricing (per 1M) | $10.00 | $10.00 |