Kurakurai French LLM - HumanEval+: leaderboard

Evaluates small French-language models on the Kurakurai French LLM leaderboard, a static board of French translations and French subsets of standard benchmarks, filtered by size class up to about 4B parameters. Scores are percentages averaged over ten sampling seeds, decoded at temperature 0.6, top_p 0.95, top_k 20, with thinking disabled and 16k context. This series is HumanEval+ code generation. These are French scores, comparable to each other but not to published English numbers for the same models. This series reports Kurakurai French LLM - HumanEval+ using pass@1 (%).

Metric: pass@1 (%). Source: huggingface.co. Saturation forecast: Around February 2027. 42 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 4B79.75#514
2Qwen 3 4B 2507 Instruct79.12#768
3Gemma 4 E2B (IT)79.06#779
4Granite 4.1 3B68.81#899
5granite-4.0-h-micro65.56#1078
6Qwen 3 1.7B57.88#1175
7SmolLM3-3B55.5#1239
8Gemma 3 4B (IT)55.25#997
9LFM2 2.6B52.12#1313
10LFM2.5-1.2B Instruct44.19#1451
11Llama 3.2 3B Instruct41.69#1327
12Qwen 3.5 2B37.56#1114
13Tiny Aya Global33.62#1303
14Luth-LFM2-1.2B30.63#1386
15Luth-0.6B-Instruct30.25#1402

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

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