Claude Opus 5.5 (Canary Checkpoint) vs GPT-Image-2.5 (Sunburst)
A direct, empirical evaluation of Claude Opus 5.5 (Canary Checkpoint) (Anthropic) against GPT-Image-2.5 (Sunburst) (OpenAI).
Claude Opus 5.5 (Canary Checkpoint)
Developed by Anthropic · Frontier Mixture-of-Experts Architecture parameters
Autonomous repository issue resolution (81.4% SWE-bench Verified), native 3D glTF/OBJ mesh synthesis, and sub-300ms time-to-first-token.
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 Opus 5.5 (Canary Checkpoint) | GPT-Image-2.5 (Sunburst) |
|---|---|---|
| SWE-bench Verified | 81.4% | 62.4% |
| MMLU-Pro | 94.2% | 89.5% |
| MATH-500 | 97.9% | 91.2% |
| Context Window | 1,000,000 tokens | Spatial Vector Token Canvas (1792×1024) |
| Input Pricing (per 1M) | $5.00 | $2.50 |
| Output Pricing (per 1M) | $25.00 | $10.00 |