DeepSeek-V4.1-Flash-1017 vs Gemini 4 Argon
A direct, empirical evaluation of DeepSeek-V4.1-Flash-1017 (DeepSeek) against Gemini 4 Argon (Google DeepMind).
DeepSeek-V4.1-Flash-1017
Developed by DeepSeek · Open-Weight Distilled Transformer (MIT License) parameters
Top-tier open-weight coding (81.6% SWE-bench Verified), concise reasoning traces with 32% lower token bloat, and fast consumer GPU self-hosting.
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-V4.1-Flash-1017 | Gemini 4 Argon |
|---|---|---|
| SWE-bench Verified | 81.6% | 78.4% |
| MMLU-Pro | 92.8% | 93.6% |
| MATH-500 | 94.8% | 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 |
Architectural & Practical Deployment Analysis
Evaluating DeepSeek-V4.1-Flash-1017 (DeepSeek) alongside Gemini 4 Argon (Google DeepMind) highlights key technical trade-offs across neural parameter scale and compute efficiency. DeepSeek-V4.1-Flash-1017 executes across Open-Weight Distilled Transformer (MIT License) total parameters with Multi-Head Latent Attention (MLA) Core active per token, whereas Gemini 4 Argon operates on Frontier Coding & Security Engine on TPU v6e Ironclad parameters with Dynamic Symbolic Verification MoE Core active per token.
On SWE-bench Verified software engineering tasks, DeepSeek-V4.1-Flash-1017 achieves 81.6% autonomous resolution rate, compared to 78.4% for Gemini 4 Argon. On complex reasoning benchmarks, DeepSeek-V4.1-Flash-1017 posts 92.8% on MMLU-Pro and 94.8% on MATH-500, against 93.6% and 97.6% respectively for Gemini 4 Argon.
From an operational economics perspective, processing 10,000,000 mixed tokens (7M input / 3M output) costs approximately $1.82 on DeepSeek-V4.1-Flash-1017 versus $22.80 on Gemini 4 Argon.
Recommendation: Deploy DeepSeek-V4.1-Flash-1017 when your infrastructure prioritizes top-tier open-weight coding (81.6% swe-bench verified), concise reasoning traces with 32% lower token bloat, and fast consumer gpu self-hosting.. Deploy Gemini 4 Argon when workload requirements favor 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..