MERA - ruOpenBookQA: leaderboard
MERA is the Russian open benchmark run by the AI Alliance Russia; this is its ruOpenBookQA task: open-book science questions in Russian. 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Opus 4.6 | 98 | #63 |
| 2 | Claude Opus 4.5 | 97.5 | #83 |
| 3 | GPT-5.4 | 97.25 | #79 |
| 4 | Qwen 3.5 27B | 96.75 | #187 |
| 5 | GLM-5.1 | 96.5 | #97 |
| 6 | Qwen 3.6 27B | 96.5 | #170 |
| 7 | GPT-5.2 | 96 | #110 |
| 8 | Kimi K2.5 | 96 | #144 |
| 9 | Qwen 3 32B | 96 | #443 |
| 10 | Qwen 3.5 122B A10B | 96 | #173 |
| 11 | Qwen 3 235B A22B 2507 (Thinking) | 96 | #260 (Qwen 3 235B A22B 2507) |
| 12 | Gemma 4 31B (IT) | 95.5 | #176 |
| 13 | Claude 3.7 Sonnet | 95.5 | #249 |
| 14 | Llama 3.1 405B Instruct | 95.5 | #457 |
| 15 | Qwen 3.6 35B A3B | 95.25 | #226 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=mera-ruopenbookqa · How It Works · Data refreshed daily, snapshot 2026-10-20.