Perplexity Decider v1.2 vs Union Alpha (Stealth)
A direct, empirical evaluation of Perplexity Decider v1.2 (Perplexity AI) against Union Alpha (Stealth) (OpenRouter & OpenCode).
Perplexity Decider v1.2
Developed by Perplexity AI · 27 Billion Parameters parameters
Sub-50ms intent classification, multimodal screenshot routing, calibrated confidence bounds, and automated API dispatcher pipelines.
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 | Perplexity Decider v1.2 | Union Alpha (Stealth) |
|---|---|---|
| SWE-bench Verified | 64.2% | 74.2% |
| MMLU-Pro | 88.4% | 89.8% |
| MATH-500 | 89.1% | 95.4% |
| Context Window | 64,000 tokens | 256,000 tokens |
| Input Pricing (per 1M) | $0.20 | $0.00 |
| Output Pricing (per 1M) | $0.60 | $0.00 |
Architectural & Practical Deployment Analysis
Evaluating Perplexity Decider v1.2 (Perplexity AI) alongside Union Alpha (Stealth) (OpenRouter & OpenCode) highlights key technical trade-offs across neural parameter scale and compute efficiency. Perplexity Decider v1.2 executes across 27 Billion Parameters total parameters with 27.2B Dedicated Multimodal Decision Engine 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, Perplexity Decider v1.2 achieves 64.2% autonomous resolution rate, compared to 74.2% for Union Alpha (Stealth). On complex reasoning benchmarks, Perplexity Decider v1.2 posts 88.4% on MMLU-Pro and 89.1% 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 $3.20 on Perplexity Decider v1.2 versus $0.00 on Union Alpha (Stealth).
Recommendation: Deploy Perplexity Decider v1.2 when your infrastructure prioritizes sub-50ms intent classification, multimodal screenshot routing, calibrated confidence bounds, and automated api dispatcher pipelines.. Deploy Union Alpha (Stealth) when workload requirements favor terminal coding agents, pull-request synthesis, multi-model consensus verification, and zero-cost autonomous refactoring..