CodeARC - Anonymized: leaderboard

Reverse-engineering a hidden Python function: the agent sees input and output examples, may query the function on inputs of its choosing and call a differential-testing oracle, and must write code that passes a differential test against it within the query budget. 1,114 functions with their names anonymized so they give nothing away. Higher is better. Source: arxiv.org/abs/2503.23145.

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

Top models

#ModelScoreOverall rank
1O3 Mini52.7#283
2O1 Mini47.7#335
3DeepSeek R141.3#266
4Claude 3.7 Sonnet33.8#263
5DeepSeek V329.5#334
6GPT-4o28.7#358
7Llama 3.1 405B Instruct26.7#472
8Qwen 2.5 72B Instruct21.6#470
9Llama 3.1 70B Instruct20#570
10Llama 3.2 90B Vision Instruct19.7#626
11GPT-4o Mini18.5#601
12Llama 3.2 11B Instruct16.1#1110
13Qwen 2.5 7B Instruct15.8#866
14QwQ-32B15.4#422
15Mixtral 8x22B Instruct15#741

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

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