DeepSeek-V4.1-Flash-1017 vs DeepSeek V5 (Leaked Staging)
A direct, empirical evaluation of DeepSeek-V4.1-Flash-1017 (DeepSeek) against DeepSeek V5 (Leaked Staging) (DeepSeek AI).
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.
DeepSeek V5 (Leaked Staging)
Developed by DeepSeek AI · 1.8 Trillion (Sparse MoE) parameters
Autonomous coding agents scoring 81.4% on SWE-bench Verified, zero-telemetry self-hosting, sub-cent 1M-token processing, and formal mathematical proofs.
| Metric | DeepSeek-V4.1-Flash-1017 | DeepSeek V5 (Leaked Staging) |
|---|---|---|
| SWE-bench Verified | 81.6% | 81.4% |
| MMLU-Pro | 92.8% | 87.5% |
| MATH-500 | 94.8% | 96.8% |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $0.14 | $0.12 |
| Output Pricing (per 1M) | $0.28 | $0.48 |
Architectural & Practical Deployment Analysis
Evaluating DeepSeek-V4.1-Flash-1017 (DeepSeek) alongside DeepSeek V5 (Leaked Staging) (DeepSeek AI) 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 DeepSeek V5 (Leaked Staging) operates on 1.8 Trillion (Sparse MoE) parameters with 128 Billion Active Parameters active per token.
On SWE-bench Verified software engineering tasks, DeepSeek-V4.1-Flash-1017 achieves 81.6% autonomous resolution rate, compared to 81.4% for DeepSeek V5 (Leaked Staging). On complex reasoning benchmarks, DeepSeek-V4.1-Flash-1017 posts 92.8% on MMLU-Pro and 94.8% on MATH-500, against 87.5% and 96.8% respectively for DeepSeek V5 (Leaked Staging).
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 $2.28 on DeepSeek V5 (Leaked Staging).
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 DeepSeek V5 (Leaked Staging) when workload requirements favor autonomous coding agents scoring 81.4% on swe-bench verified, zero-telemetry self-hosting, sub-cent 1m-token processing, and formal mathematical proofs..