healthcare
Best LLM for Patient Education
Ranked models for rewriting technical medical notes into clear, accessible language.
#1 Recommendation
gemini-2.5-flash
Strong on LanguageBench Translation Official (Split) translation_to:bleu and BRIDGE Medical Leaderboard average_performance_pct
external/google/gemini-2-5-flash
26.0%
Score
32.5%
Confidence
25
Evidence
$0.17
per 1M tokens
Ranked Models
30
Evidence Quality
87%
Evidence Points
25
Top Signal
LanguageBench Translation Official (Split): translation_to:bleu
Benchmark Sources
41
Last Updated
11h ago
All Ranked Models
| Rank | Model | Score |
|---|---|---|
| 🥇 | gemini-2.5-flash Strong on LanguageBench Translation Official (Split) translation_to:bleu and BRIDGE Medical Leaderboard average_performance_pct | 26.0% |
| 🥈 | claude-sonnet-4 Strong on LanguageBench Translation Official (Split) translation_to:bleu and Galileo Agent Leaderboard v2 Healthcare AC | 25.7% |
| 🥉 | qwen-2.5-72b-instruct Strong on Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct and Open LLM Leaderboard GPQA gpqa | 21.4% |
| #4 | gpt-4.1-20250414 Strong on Galileo Agent Leaderboard v2 Healthcare AC and Vals MedQA overall_accuracy_pct | 20.6% |
| #5 | gemini-2.5-pro Strong on Vectara HHEM Leaderboard medicine_hallucination_error_pct and OpenVLM OCRBench Official ocrbench_score_pct | 19.9% |
| #8 | gpt-5-mini-2025-08-07 Strong on Vals MedQA overall_accuracy_pct and Vals MedScribe overall_accuracy_pct | 18.4% |
| #9 | gpt-5-2025-08-07 Strong on Vals MedQA overall_accuracy_pct and Vals MedScribe overall_accuracy_pct | 17.5% |
| #12 | Llama-3.1-70B-Instruct Strong on Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct and Open LLM Leaderboard GPQA gpqa | 15.5% |
| #13 | phi-4 Strong on Open LLM Leaderboard GPQA gpqa and Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct | 15.3% |
| #14 | Llama-3.3-70B-Instruct Strong on Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct and LanguageBench Translation Official (Split) translation_to:bleu | 15.2% |
| #15 | gpt-4.1-mini-20250414 Strong on Galileo Agent Leaderboard v2 Healthcare AC and Vals MedQA overall_accuracy_pct | 15.1% |
| #16 | gpt-4o Strong on MedHELM average_score_pct and MedHELM clinical_note_generation_win_rate_pct | 14.8% |
| #17 | gemini-3.1-pro-preview Strong on Vals MedQA overall_accuracy_pct and Vectara HHEM Leaderboard medicine_hallucination_error_pct | 14.8% |
| #18 | Mistral-Large-Instruct-2411 Strong on Open LLM Leaderboard GPQA gpqa and Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct | 14.7% |
| #19 | Grok-4-0709 Strong on Vals MedQA overall_accuracy_pct and Vals MedScribe overall_accuracy_pct | 14.7% |
| #20 | gemini-3-flash-preview Strong on Vals MedQA overall_accuracy_pct and Vals MedCode overall_accuracy_pct | 13.2% |
| #21 | gemma-2-27b-it Strong on Open LLM Leaderboard GPQA gpqa and Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct | 12.9% |
| #22 | gemini-3-pro-preview Strong on Vals MedQA overall_accuracy_pct and Vectara HHEM Leaderboard medicine_hallucination_error_pct | 12.9% |
| #23 | claude-opus-4-5-20251101 Strong on Vals MedQA overall_accuracy_pct and Vals MedScribe overall_accuracy_pct | 12.6% |
| #24 | Qwen2.5-32B-Instruct Strong on Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct and BRIDGE Medical Leaderboard average_performance_pct | 12.6% |
| #25 | gpt-5.2-2025-12-11 Strong on Vals MedQA overall_accuracy_pct and Vals MedScribe overall_accuracy_pct | 12.0% |
| #26 | gpt-5.4-2026-03-05 Strong on Vals MedQA overall_accuracy_pct and Vectara HHEM Leaderboard medicine_hallucination_error_pct | 11.8% |
| #27 | MaziyarPanahi/calme-3.2-instruct-78b Strong on Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct and Open LLM Leaderboard GPQA gpqa | 11.6% |
| #28 | MaziyarPanahi/calme-3.1-instruct-78b Strong on Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct and Open LLM Leaderboard GPQA gpqa | 11.4% |
| #29 | Steelskull/L3.3-MS-Nevoria-70b Strong on Open LLM Leaderboard GPQA gpqa and Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct | 11.4% |
| #30 | MaziyarPanahi/calme-2.4-rys-78b Strong on Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct and Open LLM Leaderboard GPQA gpqa | 11.4% |
| #31 | CalmeRys-78B-Orpo-v0.1 Strong on Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct and Open LLM Leaderboard GPQA gpqa | 11.4% |
| #32 | Steelskull/L3.3-Nevoria-R1-70b Strong on Open LLM Leaderboard GPQA gpqa and Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct | 11.1% |
| #33 | Tarek07/Progenitor-V1.1-LLaMa-70B Strong on Open LLM Leaderboard GPQA gpqa and Open LLM Leaderboard MMLU-Pro mmlu_pro_accuracy_pct | 11.1% |
| #34 | o3-20250416 Strong on Vals MedQA overall_accuracy_pct and Vals MedScribe overall_accuracy_pct | 11.0% |
Head-to-Head: #1 vs #2
#1
Top Pickgemini-2.5-flash
Strong on LanguageBench Translation Official (Split) translation_to:bleu and BRIDGE Medical Leaderboard average_performance_pct
Conf 32.5%
#2
anthropic/claude-sonnet-4
Strong on LanguageBench Translation Official (Split) translation_to:bleu and Galileo Agent Leaderboard v2 Healthcare AC
Conf 32.9%
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