Case Studies
Model Comparison: DeepSeek vs Claude in SYMBI Framework Implementation
Observational notes; receipts pending. These are lab notes meant to be replicated, not production claims.
Subjectivity Notice
Findings on this page are observational and depend on prompts, settings, model versions, and human judgment. Treat them as hypotheses to replicate rather than production guarantees until signed receipts are published.
Status: Observational. Receipts and raw transcripts pending publication.
Executive Summary
This comparative analysis examines the implementation of the SYMBI framework using two distinct AI models: DeepSeek and Claude. The study evaluates how different architectures and training approaches affect quality, trustworthiness, and resonance when implementing complex AI evaluation frameworks.
Evaluation Dimensions
| Dimension | DeepSeek Performance | Claude Performance | Key Differences |
|---|---|---|---|
| Reality Index | 0.87 (Strong factual grounding) | 0.91 (Superior verification) | Claude shows better cross-referencing |
| Trust Protocol | 0.84 (Good transparency) | 0.89 (Excellent explanation) | Claude provides more detailed rationale |
| Ethical Alignment | 0.82 (Standard compliance) | 0.93 (Proactive consideration) | Claude anticipates edge cases better |
| Resonance Quality | 0.86 (Good coherence) | 0.94 (Superior harmony) | Claude maintains better internal consistency |
| Canvas Parity | 0.85 (Accurate representation) | 0.92 (Excellent mapping) | Claude better aligns capabilities with claims |
Implementation Recommendations
Use DeepSeek when: speed is critical, standard implementations suffice, resource constraints exist.
Use Claude when: quality is paramount, complex edge cases are expected, ethical considerations are critical.
Hybrid approach: Use Claude for design & review, DeepSeek for rapid prototyping.
Performance Benchmarks
Quality Index (0-100): - DeepSeek: 85 - Claude: 93 Speed Index (0-100): - DeepSeek: 92 - Claude: 85 Overall Efficiency: - DeepSeek: 88.5 - Claude: 89
Conclusions & Next Steps
- Quality vs Speed: Claude provides higher quality with similar overall efficiency.
- Framework Understanding: Claude shows deeper conceptual understanding.
- Ethical Considerations: Claude shows proactive alignment.
- Recommendation: Use Claude for critical components; DeepSeek for standard implementations.
Receipts: pending. When canonical receipts are published in the SYMBI-Resonate repo, this page will link to the signed bundles and include SHA-256 checksums.