MERA - ruCodeEval: leaderboard

MERA is the Russian open benchmark run by the AI Alliance Russia; this is its ruCodeEval task: Russian-prompted HumanEval-style code generation, scored by unit tests. Each MERA task keeps its own native metric, so the boards are not on one shared scale.

Metric: pass@1 (%). Source: mera.a-ai.ru. Saturation forecast: Not forecast. 632 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.6 27B77.2#170
2Gemini 2.0 Flash76.89#342
3Qwen 3 235B A22B 2507 (Thinking)71.89#260 (Qwen 3 235B A22B 2507)
4Gemma 4 31B (IT)71.71#176
5Qwen 3 4B 2507 (Thinking)71.71#538 (Qwen 3 4B 2507)
6GPT-4o Mini70.43#599
7Qwen 3.6 35B A3B70.37#226
8Gemini 2.0 Flash Lite66.77#450
9Qwen 3 4B64.76#829
10Gemini 1.5 Flash63.05#618
11Gemini 1.5 Flash-8B61.28#819
12GigaChat 2 Pro59.88#682
13Qwen 3 14B58.35#537
14Qwen 3 32B57.68#443
15T-pro-it-2.054.27#380

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

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