| Rank | Model | Score |
|---|---|---|
| 1 | aliceai-foundation-80b-a3b-base | 67.9 |
1 phaseActive
Yandex's challenging 5-shot benchmark of Russian-language factual knowledge, released openly alongside AliceAI-Foundation-80B-A3B-Base.
Quick answer: HardMultiQA is a challenging 5-shot benchmark of factual knowledge in Russian, released by Yandex with its evaluation protocol alongside AliceAI-Foundation-80B-A3B-Base. The model scores 67.9, ahead of DeepSeek-V4-Flash-Base (65.4), Nemotron-3-Super-120B-A12B-Base (54.5) and GLM-4.5-Air-Base (48.6) in Yandex's own comparison.
What it tests: Harder, multi-fact questions about the Russian-language world, evaluated 5-shot on base models.
Why it matters: It separates models with deep Russian-language knowledge from those with only shallow coverage, where easier benchmarks saturate.
Known limitations: Scores are from Yandex's own evaluation infrastructure and compare base models only.
HardMultiQA is the harder companion to WikiWebFacts: questions require retrieving several facts from memory, with no tools or retrieval, in a Russian-language context.
| Field | Value |
|---|---|
| Task category | Knowledge (Russian) |
| Metric | % accuracy, 5-shot |
| Created by | Yandex |
| Dataset | huggingface.co/datasets/yandex/HardMultiQA |
Models are prompted with five examples and scored on answer accuracy using Yandex's published evaluation protocol.
| Rank | Model | Score | Source | Date |
|---|---|---|---|---|
| 1 | AliceAI-Foundation-80B-A3B-Base | 67.9 | Yandex model card | 2026-09 |
Yandex's own comparison (not on Benchgen): DeepSeek-V4-Flash-Base 65.4, Nemotron-3-Super-120B-A12B-Base 54.5, GLM-4.5-Air-Base 48.6, Qwen3.5-35B-A3B-Base 47.2.
No Benchgen results yet — be the first to run HardMultiQA.
| Benchmark | What it tests | Language |
|---|---|---|
| HardMultiQA | Hard multi-fact knowledge, 5-shot | Russian |
| WikiWebFacts | Factual knowledge, 5-shot | Russian |
| TriviaQA | Trivia knowledge | English |
Download the dataset and evaluation protocol from the Hugging Face dataset page.