DeepSeek-V3 vs Gemini 4 Argon
A direct, empirical evaluation of DeepSeek-V3 (DeepSeek-AI) against Gemini 4 Argon (Google DeepMind).
DeepSeek-V3
Developed by DeepSeek-AI · 671B parameters
Cost-effective high-throughput general reasoning and bilingual generation.
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.
| Metric | DeepSeek-V3 | Gemini 4 Argon |
|---|---|---|
| SWE-bench Verified | 49.2% | 78.4% |
| MMLU-Pro | 75.9% | 93.6% |
| MATH-500 | 90.2% | 97.6% |
| Context Window | 128,000 tokens | 2,000,000 tokens |
| Input Pricing (per 1M) | $0.14 | $1.20 |
| Output Pricing (per 1M) | $0.28 | $4.80 |