MERA - MaMuRAMu: leaderboard

MERA is the Russian open benchmark run by the AI Alliance Russia; this is its MaMuRAMu task: a massive multitask Russian exam battery in the MMLU mould, built natively rather than translated. 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 4.692.61#63
2GPT-5.492.02#79
3Claude Opus 4.592#83
4GLM-5.191.38#97
5GPT-5.290.3#110
6Qwen 3.5 122B A10B90.21#173
7Kimi K2.590.04#144
8Qwen 3 235B A22B 2507 (Thinking)89.41#260 (Qwen 3 235B A22B 2507)
9Qwen 3.5 27B89.34#187
10Claude 3.7 Sonnet89.03#249
11Qwen 3.6 27B88.75#170
12Qwen 3.6 35B A3B88.75#226
13Qwen 3.5 35B A3B88.32#256
14DeepSeek V388.18#321
15Gemini 2.0 Flash87.81#342

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

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