ClinSQL: leaderboard

ClinSQL (Yale University and University of Washington, 2026) tests clinical text-to-SQL on MIMIC-IV v3.1 with 633 expert-written tasks that require patient-similarity cohort construction, temporal windows and clinical coding, scored here on the test split. Models write one BigQuery query under chain-of-thought prompting with up to two self-refinement rounds on execution errors, and a GPT-5 judge scores the executed result table against an expert rubric tree with critical-first aggregation. Execution Score is the mean in percent, higher is better.

Metric: Execution Score (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 22 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5 Mini (2025-08-07)74.67#341
2Gemini 2.5 Pro73.73#262
3DeepSeek R1 052869.15#425
4GPT-4.167.79#492
5Gemini 2.5 Flash65.01#452
6DeepSeek V3.160.71#500
7O4 Mini (2025-04-16)59.22#362
8Qwen 3 235B A22B 2507 Instruct58.63#619
9Grok 4 Fast (Reasoning)58.46#438 (Grok 4 Fast)
10Qwen 3 Coder 480B A35B Instruct58.18#641
11GPT-5 Nano52.03#888
12Qwen 3 Next 80B A3B Instruct49.26#763
13Qwen 3 235B A22B 2507 FP8 (Thinking)48.54#431
14Llama 4 Maverick Instruct47.49#1125
15Mistral Medium 345.1#1079

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=clinsql · How It Works · Data refreshed daily, snapshot 2026-11-12.