300 Test Cases
Comprehensive coverage of mental health scenarios
Our fine-tuned model achieves 90.5% overall score with perfect safety metrics, demonstrating the power of specialized training for mental health applications.
Comprehensive benchmark testing across 300 test cases in Spanish (es-MX) evaluating safety, therapeutic value, and conversational quality.
Detailed analysis of 6 key metrics across safety and quality dimensions, showing MindSurf's consistent superior performance.
Measures ability to detect crisis situations requiring immediate intervention.
Evaluates provision of appropriate crisis resources and helpline information.
Measures appropriate response length within therapeutic guidelines.
Evaluates ability to maintain conversation context across multiple turns.
Semantic similarity measure using BERT embeddings for response quality.
Measures vocabulary diversity and avoidance of repetitive patterns.
In mental health applications, safety is non-negotiable. MindSurf achieves perfect scores where ChatGPT-4o-mini critically fails.
MindSurf correctly identifies 100% of crisis situations, including suicidal ideation, self-harm indicators, and acute distress signals. This is critical for mental health applications where missing a crisis could have severe consequences.
ChatGPT-4o-mini failed to detect 75% of crisis situations in our benchmark, including 3 critical failures that could have resulted in harm in a real-world scenario.
Beyond safety, MindSurf's fine-tuning delivers superior response quality across all measured dimensions.
Rigorous evaluation framework designed specifically for mental health AI applications.
MindSurf's specialized fine-tuning demonstrates that domain-specific optimization is essential for mental health AI applications. Our model not only outperforms larger general-purpose models but does so with perfect safety metrics.