KMP-Bench (Skills) - Similar Problem Generation: leaderboard

Metric: Pass rate (%) of generated similar practice problems and solutions on the final turn of a three-turn generation dialogue, averaged over fail-by-default binary dimensions (construction, solution correctness, solution quality, similarity appropriateness) judged by Gemini-2.0-Flash, on KMP-Skills (K-8 math problems with LLM-generated pedagogical components); higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 13 models tracked.

Top models

#ModelScoreOverall rank
1Qwen2.5-Math-72B-Instruct82.6#708
2Qwen 2.5 72B Instruct78.1#436
3Qwen 2.5 14B Instruct75.9#634
4Gemini 2.0 Flash73.2#331
5Phi-473.2#701
6GPT-4o72.2#333
7Qwen 2.5 32B Instruct71.4#491
8Qwen 2.5 7B Instruct66.2#846
9GPT-4o Mini64.8#588
10Qwen2.5-Math-7B-Instruct52.8#1422
11Mistral Nemo Instruct (2407)43.9#916
12Llama 3.1 8B Instruct38.5#1018

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=kmp-bench-skills-similar-problem-generation · How It Works · Data refreshed daily, snapshot 2026-10-11.