PlatinumBench (MIT): leaderboard

PlatinumBench live text leaderboard: mean error rate with equal weight across five categories of 14 curated datasets. Lower is better. Scores use category means of per-dataset error percentages, not pooled error counts; source checkpoint identifiers and reasoning settings are retained.

Metric: Category-balanced mean error rate (%). Source: huggingface.co. Source: platinum-bench.csail.mit.edu. Saturation forecast: Estimated already saturated. 34 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)0.53#123
2O1 (2024-12-17) (High)0.74#149 (O1 (2024-12-17))
3Grok 30.79#304
4GPT-4.5 (Preview)0.99#244
5Claude 3.7 Sonnet (20250219)1.05#201
6Claude 3.5 Sonnet (20241022)1.09#291
7GPT-4.1 (2025-04-14)1.11#250
8O1 (Medium)1.27#183 (O1)
9DeepSeek R11.4#251
10Grok 3 Mini (High)1.51#281 (Grok 3 Mini)
11Claude 3.5 Sonnet (20240620)1.84#299
12Llama 3.1 405B Instruct1.92#457
13Qwen 2.5 Max2.05#416
14Llama 4 Maverick Instruct FP82.12#414
15GPT-4o (2024-08-06)2.24#336

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

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