Kurakurai French LLM - MATH-500: 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 MATH-500 mathematics. These are French scores, comparable to each other but not to published English numbers for the same models. This series reports Kurakurai French LLM - MATH-500 using Accuracy (%).

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 42 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 4B 2507 Instruct92.46#768
2Qwen 3.5 4B89.26#514
3Gemma 4 E2B (IT)81.24#779
4LFM2 2.6B71.62#1313
5Gemma 3 4B (IT)71.44#997
6Qwen 3 1.7B65.58#1175
7SmolLM3-3B65.22#1239
8Qwen 3.5 2B65.06#1114
9LFM2.5-1.2B Instruct63.88#1451
10Granite 4.1 3B55.32#899
11granite-4.0-h-micro54.72#1078
12Luth-LFM2-1.2B46.28#1386
13Luth-0.6B-Instruct44.74#1402
14Phi-4 Mini Instruct44.52#1232
15LFM2 1.2B40.94#1482

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-math-500 · How It Works · Data refreshed daily, snapshot 2026-11-05.