QIMMA - 3LM HumanEval+: leaderboard

TII's 3LM Arabic version of HumanEval+: Python function generation from Arabic instructions, checked against EvalPlus's extended test suites in the QIMMA Arabic leaderboard. pass@1 on a 0-100 scale, higher is better; open-weight models only.

Metric: pass@1 (%). Source: huggingface.co. Saturation forecast: Around February 2027. 83 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.6 27B86.59#182
2Qwen 3.5 122B A10B85.98#184
3Qwen 3.5 27B84.76#192
4Qwen 3 235B A22B 2507 Instruct84.76#315
5Qwen 3.5 397B A17B84.15#154
6Qwen 3.6 35B A3B83.54#238
7Qwen 3.5 35B A3B81.1#268
8Qwen 3.8 27B79.88#123
9Qwen 3 30B A3B 2507 Instruct78.66#492
10gemma-4-E4B-it77.44#577
11Qwen 2.5 72B Instruct75.61#469
12Gemma 3 27B (IT)75#528
13GPT-OSS-20B74.39#523
14Qwen 2.5 32B Instruct73.78#509
15Qwen 3.5 9B73.17#391

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

Interactive version: theaggregate.ai/benchmark?slug=qimma-3lm-humaneval-plus · How It Works · Data refreshed daily, snapshot 2026-11-05.