MERA Multi - SchoolScienceVQA: leaderboard
MERA Multi task SchoolScienceVQA: a private-test Russian image benchmark of school-level science questions posed with images, scored by MERA's task metric (Exact Match or judge score). MERA's 0-1 result scaled to 0-100; higher is better. From the MERA Multi leaderboard (AI Alliance Russia); only submissions MERA shows publicly for the modality are included.
Metric: Score (%). Source: mera.a-ai.ru. Saturation forecast: Around February 2027. 60 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3.5 122B A10B | 77.6 | #184 |
| 2 | Gemma 4 31B (IT) | 76.1 | #178 |
| 3 | Qwen 3.5 27B | 74.5 | #192 |
| 4 | Qwen 3.5 35B A3B | 74.1 | #268 |
| 5 | Qwen 3.6 27B | 74.1 | #182 |
| 6 | Gemma 4 26B A4B (IT) | 71.7 | #293 |
| 7 | Qwen 3.6 35B A3B | 68 | #238 |
| 8 | Qwen3 Omni 30B A3B Instruct | 67.3 | #401 |
| 9 | GPT-4.1 | 62.4 | #258 |
| 10 | Qwen 2 VL 72B Instruct | 61 | #551 |
| 11 | gemma-4-E4B-it | 59 | #577 |
| 12 | Gemma 3 27B (IT) | 51.6 | #528 |
| 13 | Gemma 4 E2B (IT) | 45.1 | #779 |
| 14 | Phi-4 Multimodal Instruct | 35.4 | #922 |
| 15 | Gemma 3 4B (IT) | 33.3 | #997 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=mera-multi-schoolsciencevqa · How It Works · Data refreshed daily, snapshot 2026-11-05.