DeepSeek-V4.1-Flash-1017 vs Gemini 4 Carbon
A direct, empirical evaluation of DeepSeek-V4.1-Flash-1017 (DeepSeek) against Gemini 4 Carbon (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 Carbon
Developed by Google DeepMind · Carbon-Aware Frontier Transformer on TPU v6e parameters
Sub-watt green computing, 62% energy reduction per million tokens, carbon-aware datagrid routing, and eco-tier batch execution discounts.
| Metric | DeepSeek-V4.1-Flash-1017 | Gemini 4 Carbon |
|---|---|---|
| SWE-bench Verified | 81.6% | 69.2% |
| MMLU-Pro | 92.8% | 84.6% |
| MATH-500 | 94.8% | 91.4% |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $0.14 | $0.80 |
| Output Pricing (per 1M) | $0.28 | $2.40 |
Architectural & Practical Deployment Analysis
Evaluating DeepSeek-V4.1-Flash-1017 (DeepSeek) alongside Gemini 4 Carbon (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 Carbon operates on Carbon-Aware Frontier Transformer on TPU v6e parameters with Dynamic Layer Pruning (48 to 128 layers) active per token.
On SWE-bench Verified software engineering tasks, DeepSeek-V4.1-Flash-1017 achieves 81.6% autonomous resolution rate, compared to 69.2% for Gemini 4 Carbon. On complex reasoning benchmarks, DeepSeek-V4.1-Flash-1017 posts 92.8% on MMLU-Pro and 94.8% on MATH-500, against 84.6% and 91.4% respectively for Gemini 4 Carbon.
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 $12.80 on Gemini 4 Carbon.
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 Carbon when workload requirements favor sub-watt green computing, 62% energy reduction per million tokens, carbon-aware datagrid routing, and eco-tier batch execution discounts..