Yandex released AliceAI-Foundation-80B-A3B-Base, a new 80B-parameter (3B active) hybrid MoE base model trained from scratch with a 262K-token context window. The model claims strong performance on Russian factual knowledge benchmarks and competitive math/reasoning scores against larger open-source MoE models.
| Benchmark | Score | Rank | Source |
|---|---|---|---|
| MMLU-Pro | 66.8% | 64 of 73 | Hugging Face model card ↗ |
| LiveCodeBench | 50.5% | 42 of 48 | Hugging Face model card ↗ |
| AIME 2026 | 96.7% | 3 of 26 | Hugging Face model card ↗ |
Rank is against every model in our database with a sourced score on that benchmark, each counted once with its best score.
Yandex has released AliceAI-Foundation-80B-A3B-Base, an 80-billion-parameter hybrid MoE base model with 3 billion active parameters per token and a 262,144-token context window. The model was trained fully from scratch and, according to Yandex, outperforms larger open-source models on Russian-language factual and educational benchmarks.