DeepSeek V4.1 Flash vs NVIDIA Nemotron Labs Dory 1.0
A direct, empirical evaluation of DeepSeek V4.1 Flash (DeepSeek-AI) against NVIDIA Nemotron Labs Dory 1.0 (NVIDIA).
DeepSeek V4.1 Flash
Developed by DeepSeek-AI · 552B parameters
High-throughput software engineering, autonomous coding loops, terminal agents, 1M long-context retrieval, and low-cost production inference.
NVIDIA Nemotron Labs Dory 1.0
Developed by NVIDIA · 4 Billion Parameters (Looped Transformer) parameters
Ultra-low VRAM memory residency (4.4 GB FP8), 256k long-context needle retrieval, and recurrent layer depth execution.
| Metric | DeepSeek V4.1 Flash | NVIDIA Nemotron Labs Dory 1.0 |
|---|---|---|
| SWE-bench Verified | 67.2% | 66.4% |
| MMLU-Pro | 78.4% | 82.8% |
| MATH-500 | 92.6% | 85.6% |
| Context Window | 1,000,000 tokens | 256,000 tokens |
| Input Pricing (per 1M) | $0.06 | $0.15 |
| Output Pricing (per 1M) | $0.22 | $0.45 |
Architectural & Practical Deployment Analysis
Evaluating DeepSeek V4.1 Flash (DeepSeek-AI) alongside NVIDIA Nemotron Labs Dory 1.0 (NVIDIA) highlights key technical trade-offs across neural parameter scale and compute efficiency. DeepSeek V4.1 Flash executes across 552B total parameters with 8B input / 16B output active per token, whereas NVIDIA Nemotron Labs Dory 1.0 operates on 4 Billion Parameters (Looped Transformer) parameters with 4.1B Active Recurrent Block (Equivalent to 16B Depth) active per token.
On SWE-bench Verified software engineering tasks, DeepSeek V4.1 Flash achieves 67.2% autonomous resolution rate, compared to 66.4% for NVIDIA Nemotron Labs Dory 1.0. On complex reasoning benchmarks, DeepSeek V4.1 Flash posts 78.4% on MMLU-Pro and 92.6% on MATH-500, against 82.8% and 85.6% respectively for NVIDIA Nemotron Labs Dory 1.0.
From an operational economics perspective, processing 10,000,000 mixed tokens (7M input / 3M output) costs approximately $1.04 on DeepSeek V4.1 Flash versus $2.40 on NVIDIA Nemotron Labs Dory 1.0.
Recommendation: Deploy DeepSeek V4.1 Flash when your infrastructure prioritizes high-throughput software engineering, autonomous coding loops, terminal agents, 1m long-context retrieval, and low-cost production inference.. Deploy NVIDIA Nemotron Labs Dory 1.0 when workload requirements favor ultra-low vram memory residency (4.4 gb fp8), 256k long-context needle retrieval, and recurrent layer depth execution..