Gemini 4 Pro (Projected) vs GPT-6 Sol
A direct, empirical evaluation of Gemini 4 Pro (Projected) (Google DeepMind) against GPT-6 Sol (OpenAI).
Gemini 4 Pro (Projected)
Developed by Google DeepMind · Proprietary Omni-Modal Unified Diffusion Transformer parameters
Repository-scale 10M-token refactoring, automated formal theorem proving, parametric SVG and 3D GLTF asset synthesis, and zero-hallucination execution.
GPT-6 Sol
Developed by OpenAI · Proprietary Frontier Workhorse parameters
High-efficiency agentic software development, OSWorld computer use, repository refactoring, and enterprise workflow execution at 80% lower cost per task than Claude Opus.
| Metric | Gemini 4 Pro (Projected) | GPT-6 Sol |
|---|---|---|
| SWE-bench Verified | 75.8% | 68.8% |
| MMLU-Pro | 92.4% | 90.8% |
| MATH-500 | 97.2% | 96.4% |
| Context Window | 2,000,000 - 10,000,000 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $1.50 | $2.00 |
| Output Pricing (per 1M) | $7.50 | $10.00 |