ModelMatch exists to make AI model selection simple, transparent, and useful. Instead of endless benchmarks and confusing charts, we provide practical evaluations that show how models perform in the tasks people actually care about.
- Help people find the right model for the right job
- Bridge research and reality by testing models in real-world scenarios
- Save time by showing what works best — and why
- Students & researchers looking for the best summarizer or helper for projects
- Professionals & teams needing models that won’t hallucinate or mislead
- AI enthusiasts wondering, “Which model should I trust for this task?”
Summeval – Evaluates models on summarization tasks.
TherapyEval – Tests how models perform as conversational, empathetic “therapy-like” companions.
EmailEval – Evaluates model performance on professional and marketing email generation.
FinanceEval – Measures how models handle financial reasoning, forecasting, and analysis tasks.
HealthEval – Evaluates clinical and healthcare-related reasoning, medical advice accuracy, and ethical safety.
🔓 Both frameworks are fully open source and can be run either directly on Hugging Face (no code required) or locally via the GitHub source.
- Official Leaderboards – A single hub to see scores, rankings, and comparisons of models across tasks, so you instantly know which model is best.
| Model | Score |
|---|---|
| Phi-3 Mini 4K Instruct | 9.08 |
| Mistral 7B Instruct v0.3 | 8.87 |
| OpenHermes-2.5-Mistral-7B | 8.79 |
| Top Models | Scores |
|---|---|
| OpenHermes-2.5-Mistral-7B | 9.69 |
| Mistral 7B Instruct v0.3 | 9.50 |
| Phi-3 Mini 4K Instruct | 9.20 |
Metrics: Coverage, Intent Alignment, Hallucination Control, Topical Relevance, Bias & Toxicity
| Top Models | Scores |
|---|---|
| Llama3-Med42-8B | 8.60 |
| Gemma-3 Medical (Fine-tune i1 GGUF) | 8.55 |
| Josiefied-Health-Qwen3-8B-Abliterated-v1 | 8.15 |
Metrics: Empathy & Rapport, Emotional Relevance, Boundary Awareness, Ethical Safety, Adaptability & Support
| Top Models | Scores |
|---|---|
| Tulu-2-7B (AI2) | 8.89 |
| StarChat-Beta (Hugging Face H4) | 8.54 |
| LFM2-1.2B (Liquid AI) | 8.44 |
Metrics: Clarity & Ask Framing, Length & Pacing, Spam & Deliverability Risk, Personalization Density, Tone & Hygiene
| Top Models | Scores |
|---|---|
| Meta-Llama-3-70B Instruct | 6.26 |
| Meta-Llama-3.3-70B Instruct | 5.87 |
| Nemotron-70B Instruct | 5.78 |
Metrics: Trust & Transparency, Competence & Accuracy, Explainability, Client-Centeredness, Risk Safety, Communication Clarity
| Top Models | Scores |
|---|---|
| Qwen-UMLS-7B-Instruct | 7.44 |
| Phi-3 Mini 4K Instruct | 7.43 |
| Llama3-Med42-8B | 7.18 |
Metrics: Evidence Transparency, Clinical Safety, Empathy, Clarity, Plan Quality, Trust & Agency
ModelMatch is part of BrainDrive, an open-source movement for user-owned AI.
Join the conversation: community.braindrive.ai