NVIDIA Nemotron Labs Dory 1.0 vs Union Alpha (Stealth)
A direct, empirical evaluation of NVIDIA Nemotron Labs Dory 1.0 (NVIDIA) against Union Alpha (Stealth) (OpenRouter & OpenCode).
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.
Union Alpha (Stealth)
Developed by OpenRouter & OpenCode · Multi-Model Ensemble Mixture parameters
Terminal coding agents, pull-request synthesis, multi-model consensus verification, and zero-cost autonomous refactoring.
| Metric | NVIDIA Nemotron Labs Dory 1.0 | Union Alpha (Stealth) |
|---|---|---|
| SWE-bench Verified | 66.4% | 74.2% |
| MMLU-Pro | 82.8% | 89.8% |
| MATH-500 | 85.6% | 95.4% |
| Context Window | 256,000 tokens | 256,000 tokens |
| Input Pricing (per 1M) | $0.15 | $0.00 |
| Output Pricing (per 1M) | $0.45 | $0.00 |
Architectural & Practical Deployment Analysis
Evaluating NVIDIA Nemotron Labs Dory 1.0 (NVIDIA) alongside Union Alpha (Stealth) (OpenRouter & OpenCode) highlights key technical trade-offs across neural parameter scale and compute efficiency. NVIDIA Nemotron Labs Dory 1.0 executes across 4 Billion Parameters (Looped Transformer) total parameters with 4.1B Active Recurrent Block (Equivalent to 16B Depth) active per token, whereas Union Alpha (Stealth) operates on Multi-Model Ensemble Mixture parameters with Dynamic MoA Router active per token.
On SWE-bench Verified software engineering tasks, NVIDIA Nemotron Labs Dory 1.0 achieves 66.4% autonomous resolution rate, compared to 74.2% for Union Alpha (Stealth). On complex reasoning benchmarks, NVIDIA Nemotron Labs Dory 1.0 posts 82.8% on MMLU-Pro and 85.6% on MATH-500, against 89.8% and 95.4% respectively for Union Alpha (Stealth).
From an operational economics perspective, processing 10,000,000 mixed tokens (7M input / 3M output) costs approximately $2.40 on NVIDIA Nemotron Labs Dory 1.0 versus $0.00 on Union Alpha (Stealth).
Recommendation: Deploy NVIDIA Nemotron Labs Dory 1.0 when your infrastructure prioritizes ultra-low vram memory residency (4.4 gb fp8), 256k long-context needle retrieval, and recurrent layer depth execution.. Deploy Union Alpha (Stealth) when workload requirements favor terminal coding agents, pull-request synthesis, multi-model consensus verification, and zero-cost autonomous refactoring..