DeepSeek V5 (Leaked Staging) vs NVIDIA Nemotron Labs Dory 1.0
A direct, empirical evaluation of DeepSeek V5 (Leaked Staging) (DeepSeek AI) against NVIDIA Nemotron Labs Dory 1.0 (NVIDIA).
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.
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 V5 (Leaked Staging) | NVIDIA Nemotron Labs Dory 1.0 |
|---|---|---|
| SWE-bench Verified | 81.4% | 66.4% |
| MMLU-Pro | 87.5% | 82.8% |
| MATH-500 | 96.8% | 85.6% |
| Context Window | 1,000,000 tokens | 256,000 tokens |
| Input Pricing (per 1M) | $0.12 | $0.15 |
| Output Pricing (per 1M) | $0.48 | $0.45 |
Architectural & Practical Deployment Analysis
Evaluating DeepSeek V5 (Leaked Staging) (DeepSeek AI) alongside NVIDIA Nemotron Labs Dory 1.0 (NVIDIA) highlights key technical trade-offs across neural parameter scale and compute efficiency. DeepSeek V5 (Leaked Staging) executes across 1.8 Trillion (Sparse MoE) total parameters with 128 Billion Active Parameters 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 V5 (Leaked Staging) achieves 81.4% autonomous resolution rate, compared to 66.4% for NVIDIA Nemotron Labs Dory 1.0. On complex reasoning benchmarks, DeepSeek V5 (Leaked Staging) posts 87.5% on MMLU-Pro and 96.8% 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 $2.28 on DeepSeek V5 (Leaked Staging) versus $2.40 on NVIDIA Nemotron Labs Dory 1.0.
Recommendation: Deploy DeepSeek V5 (Leaked Staging) when your infrastructure prioritizes autonomous coding agents scoring 81.4% on swe-bench verified, zero-telemetry self-hosting, sub-cent 1m-token processing, and formal mathematical proofs.. 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..