DeepSeek V5 (Leaked Staging) vs GPT-Image-2.5 (Sunburst)
A direct, empirical evaluation of DeepSeek V5 (Leaked Staging) (DeepSeek AI) against GPT-Image-2.5 (Sunburst) (OpenAI).
DeepSeek V5 (Leaked Staging)
Developed by DeepSeek AI · 1.8 Trillion (Sparse MoE) parameters
Autonomous coding agents scoring 81.4% on SWE-bench Verified, zero-telemetry self-hosting, sub-cent 1M-token processing, and formal mathematical proofs.
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 | DeepSeek V5 (Leaked Staging) | GPT-Image-2.5 (Sunburst) |
|---|---|---|
| SWE-bench Verified | 81.4% | 62.4% |
| MMLU-Pro | 87.5% | 89.5% |
| MATH-500 | 96.8% | 91.2% |
| Context Window | 1,000,000 tokens | Spatial Vector Token Canvas (1792×1024) |
| Input Pricing (per 1M) | $0.12 | $2.50 |
| Output Pricing (per 1M) | $0.48 | $10.00 |