SAD - Count Tokens (Situating Prompt): leaderboard

Metric: Token-count accuracy (%, higher is better). Source: github.com. Saturation forecast: Estimated already saturated. 23 models tracked.

Top models

#ModelScoreOverall rank
1O1 Preview (2024-09-12)20#193
2O1 Mini (2024-09-12)16.07#390
3Claude 3 Opus (20240229)13.47#394
4Claude 3 Haiku (20240307)13.13#758
5Claude 3 Sonnet (20240229)13.13#666
6Llama 2 70B Chat11.73#1223
7Claude 3.5 Sonnet (20240620)11.53#294
8Claude Instant 1.211.53#1004
9Claude 2.111.4#825
10Llama 2 13B Chat9.4#1444
11GPT-4 Preview (0125)8.67#472
12GPT-4o8.2#335
13GPT-4 (0613)8#477
14Llama 2 7B Chat7.27#1481
15GPT-3.5 Turbo (0613)6.73#1104

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=sad-count-tokens-situating-prompt · How It Works · Data refreshed daily, snapshot 2026-10-12.