MERA Code - CodeLinterEval: leaderboard

MERA Code (Russian) CodeLinterEval task: producing code a linter accepts, which penalises style-blind generation. Each task keeps its own metric — pass rates, CodeBLEU and chrF all appear across this suite — so read the metric label before comparing boards.

Metric: pass@1 (%). Source: mera.a-ai.ru. Saturation forecast: Estimated already saturated. 66 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 0.8B100#1424
2GPT-5.498.64#79
3MiniMax-M2.597.18#303
4GPT-5.1 Codex Max95.55#100
5GLM-5.193.45#97
6Qwen 3.6 27B93.45#170
7Claude Opus 4.693.09#63
8Qwen 3.6 35B A3B92.82#226
9Qwen 3.5 35B A3B89.64#256
10Qwen 3.5 9B88.18#379
11DeepSeek V4 Pro87.45#102
12Qwen 3.5 4B85.45#475
13MiniMax-M2.785.09#258
14Qwen 3.5 27B84.18#187
15Qwen 3.5 122B A10B80.36#173

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

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