// BENCHMARK

MLogiQA benchmark

AI model leaderboard for the MLogiQA benchmark. Compare how large language models score on MLogiQA, see the full ranking, and understand what this AI benchmark measures. Qwen3-235B-A22B currently leads with 77.1. Multilingual logical-reasoning QA benchmark — Chinese LogiQA + multilingual translations.

Leaderboard

# Model Organization Score Variant Source
#1 Qwen3-235B-A22B Qwen 77.1 thinking official ↗
#2 Qwen3-32B Qwen 76.3 thinking official ↗
#3 Qwen3-14B Qwen 71.1 thinking official ↗
#4 Qwen3-30B-A3B Qwen 70.1 thinking official ↗
#5 Qwen3-8B Qwen 69 thinking official ↗
#6 Qwen3-235B-A22B Qwen 67.6 non-thinking official ↗
#7 Qwen3-4B Qwen 65.9 thinking official ↗
#8 Qwen3-32B Qwen 62.9 non-thinking official ↗
#9 Qwen3-14B Qwen 58.9 non-thinking official ↗
#10 Qwen3-1.7B Qwen 56 thinking official ↗
#11 Qwen3-30B-A3B Qwen 53.3 non-thinking official ↗
#12 Qwen3-8B Qwen 51.4 non-thinking official ↗
#13 Qwen3-4B Qwen 49.9 non-thinking official ↗
#14 Qwen3-1.7B Qwen 41.1 non-thinking official ↗
#15 Qwen3-0.6B Qwen 40.9 thinking official ↗
#16 Qwen3-0.6B Qwen 37.3 non-thinking official ↗

Frequently asked questions about MLogiQA

What is the MLogiQA benchmark?

Multilingual logical-reasoning QA benchmark — Chinese LogiQA + multilingual translations.

How is the MLogiQA benchmark scored?

MLogiQA is scored using the accuracy metric, where a higher score is better. GenAIList aggregates reported scores from model providers and papers into a single ranked leaderboard.

Which AI model scores highest on MLogiQA?

As of the latest reported scores on GenAIList, Qwen3-235B-A22B achieves the highest result on MLogiQA with a score of 77.1.

Is a higher MLogiQA score better?

Yes. On MLogiQA a higher score indicates better performance, so models near the top of the leaderboard are the strongest.