CodeARC - Annotated: leaderboard

The CodeARC black-box function task with the original descriptive function names left in place, which hint at what the hidden function does. Higher is better. Source: arxiv.org/abs/2503.23145.

Metric: Success Rate (%; descriptive function names, 1,114 functions). Source: arxiv.org. Saturation forecast: Estimated already saturated. 18 models tracked.

Top models

#ModelScoreOverall rank
1O3 Mini59.5#283
2O1 Mini53.2#335
3DeepSeek R149.8#266
4Claude 3.7 Sonnet39#263
5Llama 3.1 405B Instruct38.6#472
6GPT-4o37.8#358
7DeepSeek V337.7#334
8Llama 3.1 70B Instruct30.1#570
9Qwen 2.5 72B Instruct30.1#470
10Qwen 2.5 7B Instruct29.2#866
11Llama 3.2 90B Vision Instruct28.4#626
12GPT-4o Mini26.1#601
13Mixtral 8x22B Instruct25.1#741
14Llama 3.2 11B Instruct24.9#1110
15Mixtral 8x7B Instruct20.3#1085

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #6 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=codearc-annotated · How It Works · Data refreshed daily, snapshot 2026-11-07.