DeepSeek-V4.1-Flash-1017
Top-tier open-weight coding (81.6% SWE-bench Verified), concise reasoning traces with 32% lower token bloat, and fast consumer GPU self-hosting.
SWE-bench Verified
81.6%
MMLU-Pro
92.8%
MATH-500
94.8%
Context Window
128,000 tokens
| Specification | Value |
|---|---|
| Developer / Lab | DeepSeek |
| Parameters Total | Open-Weight Distilled Transformer (MIT License) |
| Parameters Active | Multi-Head Latent Attention (MLA) Core |
| Architecture Type | Concise Chain-of-Thought RL + Dynamic Vision Patch Merging + Multi-Head Latent Attention |
| License | MIT License (Open Weights) |
| Input Pricing (per 1M) | $0.14 |
| Output Pricing (per 1M) | $0.28 |
Head-to-Head Comparisons with DeepSeek-V4.1-Flash-1017
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