Horangi 4 - HumanEval (100-problem subset): leaderboard

A 100-problem subset of HumanEval Python function synthesis, as run by the Horangi Korean LLM Leaderboard 4 (W&B Korea). Pass rate (%) of generated code against the tests, higher is better. Older runs have this score in their summaries only.

Metric: Pass rate (%). Source: horangi.ai. Saturation forecast: Estimated already saturated. 105 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5100#105
2Gemini 3 Flash (Preview)100#90
3GPT-5.1 (2025-11-13)100#107
4GPT-5.6 Sol (Max)100#22 (GPT-5.6 Sol)
5Qwen 3.7 Plus100#98
6Grok 4.20100#179
7GPT-5.5 (xHigh)100#33 (GPT-5.5)
8GPT-5.6 Luna (Max)100#79 (GPT-5.6 Luna)
9GPT-5.4 Nano (2026-03-17) (xHigh)100#285 (GPT-5.4 Nano (2026-03-17))
10GPT-5 Nano99#439
11Gemini 3.1 Pro (Preview) (High)99#64 (Gemini 3.1 Pro (Preview))
12Grok 4.599#54
13GPT-5.6 Terra (Max)99#40 (GPT-5.6 Terra)
14Claude Opus 4.6 (High)99#67 (Claude Opus 4.6)
15Claude Fable 5 (High)99#20 (Claude Fable 5)

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

Interactive version: theaggregate.ai/benchmark?slug=horangi-4-humaneval-100-problem-subset · How It Works · Data refreshed daily, snapshot 2026-11-05.