Gemini 4 Argon vs Qwen 2.5 Max
A direct, empirical evaluation of Gemini 4 Argon (Google DeepMind) against Qwen 2.5 Max (Alibaba Cloud).
Gemini 4 Argon
Developed by Google DeepMind · Frontier Coding & Security Engine on TPU v6e Ironclad parameters
Automated GitHub issue resolution (78.4% SWE-bench Verified), cybersecurity exploit auditing (91.4% CyberSecBench), 2M token context buffer, and aggressive $1.20/$4.80 API pricing.
Qwen 2.5 Max
Developed by Alibaba Cloud · Proprietary (~700B) parameters
Cross-lingual document extraction and structured structured output generation.
| Metric | Gemini 4 Argon | Qwen 2.5 Max |
|---|---|---|
| SWE-bench Verified | 78.4% | 51.4% |
| MMLU-Pro | 93.6% | 77.2% |
| MATH-500 | 97.6% | 89.4% |
| Context Window | 2,000,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $1.20 | $1.60 |
| Output Pricing (per 1M) | $4.80 | $6.40 |