InteractBench - Medium - pass@5: leaderboard

InteractBench (arXiv 2608.29632v1, Table 2): interactive competitive-programming tasks where the submitted program must query a judge program under a protocol and query budget. pass@5 estimated from 10 samples per task at temperature 0.8 on medium problems, in percent; higher is better. Thinking and non-thinking runs of one checkpoint are separate rows.

Metric: pass@5 (%; n=10 samples per task). Source: arxiv.org. Saturation forecast: Around February 2027. 16 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (Preview)71.6#71
2GPT-5.2 (Thinking)69#115 (GPT-5.2)
3DeepSeek V3.2 (Thinking)48.4#210 (DeepSeek V3.2)
4Gemini 2.5 Pro45.2#159
5GPT-OSS-120B35.5#346
6Gemini 2.5 Flash29#255
7Claude Opus 4.5 (Thinking)28.4#87 (Claude Opus 4.5)
8DeepSeek V3.2 (Non-reasoning)23.2#210 (DeepSeek V3.2)
9GPT-OSS-20B22.6#523
10Qwen 3 30B A3B 2507 (Thinking)21.3#379
11Qwen 3 32B (Thinking)12.3#449 (Qwen 3 32B)
12Qwen 3 14B (Reasoning)10.3#542 (Qwen 3 14B)
13GPT-4.19#258
14DeepSeek R1 Distill Llama 70B7.7#614
15Qwen 3 32B (Non-reasoning)3.2#449 (Qwen 3 32B)

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

Interactive version: theaggregate.ai/benchmark?slug=interactbench-medium-pass-5 · How It Works · Data refreshed daily, snapshot 2026-11-05.