Gemini 4 Pro (Projected) vs Qwen 2.5 Max
A direct, empirical evaluation of Gemini 4 Pro (Projected) (Google DeepMind) against Qwen 2.5 Max (Alibaba Cloud).
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.
Qwen 2.5 Max
Developed by Alibaba Cloud · Proprietary (~700B) parameters
Cross-lingual document extraction and structured structured output generation.
| Metric | Gemini 4 Pro (Projected) | Qwen 2.5 Max |
|---|---|---|
| SWE-bench Verified | 75.8% | 51.4% |
| MMLU-Pro | 92.4% | 77.2% |
| MATH-500 | 97.2% | 89.4% |
| Context Window | 2,000,000 - 10,000,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $1.50 | $1.60 |
| Output Pricing (per 1M) | $7.50 | $6.40 |