Claude 3.7 Sonnet vs GPT-Image-2.5 (Sunburst)
A direct, empirical evaluation of Claude 3.7 Sonnet (Anthropic) against GPT-Image-2.5 (Sunburst) (OpenAI).
Claude 3.7 Sonnet
Developed by Anthropic · Proprietary parameters
Enterprise software engineering, full-repo refactoring, and agentic workflows.
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 3.7 Sonnet | GPT-Image-2.5 (Sunburst) |
|---|---|---|
| SWE-bench Verified | 70.3% | 62.4% |
| MMLU-Pro | 82.1% | 89.5% |
| MATH-500 | 96.2% | 91.2% |
| Context Window | 200,000 tokens | Spatial Vector Token Canvas (1792×1024) |
| Input Pricing (per 1M) | $3.00 | $2.50 |
| Output Pricing (per 1M) | $15.00 | $10.00 |
Architectural & Practical Deployment Analysis
Evaluating Claude 3.7 Sonnet (Anthropic) alongside GPT-Image-2.5 (Sunburst) (OpenAI) highlights key technical trade-offs across neural parameter scale and compute efficiency. Claude 3.7 Sonnet executes across Proprietary total parameters with Proprietary active per token, whereas GPT-Image-2.5 (Sunburst) operates on Proprietary Multimodal DiT parameters with Continuous Flow Transformer active per token.
On SWE-bench Verified software engineering tasks, Claude 3.7 Sonnet achieves 70.3% autonomous resolution rate, compared to 62.4% for GPT-Image-2.5 (Sunburst). On complex reasoning benchmarks, Claude 3.7 Sonnet posts 82.1% on MMLU-Pro and 96.2% on MATH-500, against 89.5% and 91.2% respectively for GPT-Image-2.5 (Sunburst).
From an operational economics perspective, processing 10,000,000 mixed tokens (7M input / 3M output) costs approximately $66.00 on Claude 3.7 Sonnet versus $47.50 on GPT-Image-2.5 (Sunburst).
Recommendation: Deploy Claude 3.7 Sonnet when your infrastructure prioritizes enterprise software engineering, full-repo refactoring, and agentic workflows.. Deploy GPT-Image-2.5 (Sunburst) when workload requirements favor high-fidelity typographic rendering, raytracing reflection accuracy, sketch-to-image conditioning, and localized comment inpainting..