MERA - MathLogicQA: leaderboard

MERA is the Russian open benchmark run by the AI Alliance Russia; this is its MathLogicQA task: word problems that need a logical step before the arithmetic. Each MERA task keeps its own native metric, so the boards are not on one shared scale.

Metric: Accuracy (%). Source: mera.a-ai.ru. Saturation forecast: Estimated already saturated. 632 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.699.83#63
2GLM-5.199.74#97
3Qwen 3 235B A22B 2507 (Thinking)99.74#260 (Qwen 3 235B A22B 2507)
4Qwen 3 30B A3B 2507 (Thinking)99.74#376 (Qwen 3 30B A3B 2507)
5Qwen 3.6 27B99.65#170
6Kimi K2.599.56#144
7Qwen 3.5 27B99.48#187
8Qwen 3 4B99.39#829
9Qwen 3.5 122B A10B99.3#173
10MiniMax-M2.799.3#258
11Qwen 3 32B99.21#443
12Qwen 3.6 35B A3B99.21#226
13Qwen 3 4B 2507 (Thinking)99.13#538 (Qwen 3 4B 2507)
14Qwen 3.5 9B99.04#379
15Qwen 3 Next 80B A3B (Thinking)99.04#320 (Qwen 3 Next 80B A3B)

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

Interactive version: theaggregate.ai/benchmark?slug=mera-mathlogicqa · How It Works · Data refreshed daily, snapshot 2026-10-20.