ALE-Bench: leaderboard

Score-based algorithmic programming benchmark built from AtCoder Heuristic Contest tasks, evaluating AI systems on hard optimization problems with hidden/private test evaluation.

Metric: Performance (Self-Refine x1) (imported). Source: sakanaai.github.io. Source: benchmarklist.com. Saturation forecast: Around June 2027. 89 models tracked.

Top models

#ModelScoreOverall rank
1Best Expert2341
2GPT-5.5 (xHigh)1942.97#31 (GPT-5.5)
3GPT-5.3 Codex (xHigh)1655.22#69 (GPT-5.3 Codex)
4GPT-5.4 (High)1607#79 (GPT-5.4)
5GPT-5.4 (Medium)1520.72#79 (GPT-5.4)
6Gemini 3 Flash (Preview) (High)1367.2#82 (Gemini 3 Flash (Preview))
7Claude Sonnet 4.6 (Medium)1327.3#90 (Claude Sonnet 4.6)
8Claude Opus 4.7 (Non-reasoning)1323.05#49 (Claude Opus 4.7)
9GPT-5.2 Codex (xHigh)1299.9#95 (GPT-5.2 Codex)
10GPT-5.2 (High)1293.55#110 (GPT-5.2)
11GPT-5.2 (Medium)1249.83#110 (GPT-5.2)
12GPT-5.1 Codex (High)1244.92#159 (GPT-5.1 Codex)
13Median Expert1231
14GPT-5.1 (Thinking)1192.15#135 (GPT-5.1)
15GPT-5.4 Mini (High)1188.58#212 (GPT-5.4 Mini)

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

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