Gemini 4 Pro (Projected) vs Llama 3.3 70B
A direct, empirical evaluation of Gemini 4 Pro (Projected) (Google DeepMind) against Llama 3.3 70B (Meta AI).
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.
Llama 3.3 70B
Developed by Meta AI · 70.6B parameters
Self-hosted on-premise deployments and edge dense inference.
| Metric | Gemini 4 Pro (Projected) | Llama 3.3 70B |
|---|---|---|
| SWE-bench Verified | 75.8% | 38.8% |
| MMLU-Pro | 92.4% | 68.3% |
| MATH-500 | 97.2% | 75.8% |
| Context Window | 2,000,000 - 10,000,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $1.50 | $0.15 |
| Output Pricing (per 1M) | $7.50 | $0.60 |