Gemini 4 Pro (Projected) vs GPT-6 Luna
A direct, empirical evaluation of Gemini 4 Pro (Projected) (Google DeepMind) against GPT-6 Luna (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 Luna
Developed by OpenAI · Proprietary High-Throughput Distillation parameters
High-throughput document extraction, sub-second routing, customer service triage, code autocomplete, and cost-optimized reasoning via Luna Pro mode.
| Metric | Gemini 4 Pro (Projected) | GPT-6 Luna |
|---|---|---|
| SWE-bench Verified | 75.8% | 48.2% |
| MMLU-Pro | 92.4% | 74.6% |
| MATH-500 | 97.2% | 84.1% |
| Context Window | 2,000,000 - 10,000,000 tokens | 1,050,000 tokens |
| Input Pricing (per 1M) | $1.50 | $0.10 |
| Output Pricing (per 1M) | $7.50 | $0.50 |