MedGUIDE: leaderboard

MedGUIDE evaluates whether LLMs can make guideline-consistent clinical decisions. It is constructed from 55 curated NCCN decision trees across 17 cancer types and uses LLM-generated clinical scenarios filtered through expert-labeled reward models and LLM-as-judge ensembles to produce 7,747 high-quality multiple-choice diagnostic questions. (Source: benchmarklist.com, self-reported.)

Metric: Weighted Accuracy (self-reported). Source: benchmarklist.com. Saturation forecast: Estimated already saturated. 25 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4.162.54#248
2O160.49#183
3O4 Mini58.9#180
4DeepSeek R158.12#251
5DeepSeek V357.7#321
6Claude 3.7 Sonnet (20250219)55.62#201
7Llama 3.1 70B Instruct54.31#561
8Qwen 3 32B53.66#443
9Qwen 3 14B53.54#537
10GPT-4o Mini53.42#599
11Qwen 2.5 7B Instruct50.07#862
12Mixtral 8x7B Instruct (v0.1)49.15#1073
13Mistral 7B Instruct (v0.3)48.13#1274
14Claude 3.5 Haiku (20241022)47.55#588
15Qwen 3 8B47.33#674

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=medguide · How It Works · Data refreshed daily, snapshot 2026-10-20.