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AliceAI-Foundation-80B-A3B-Base

OPEN
Yandex · AliceAI Foundation family · released Sep 21, 2026

Yandex's first open-weights LLM trained from scratch: an 80B-total / 3B-active hybrid-attention MoE pretrained base (no post-training), 262,144-token context, Apache 2.0. Yandex describes it as an experimental base for testing architecture choices for its future unified reasoning model behind Alice AI. Benchmarks on the card are base-model few-shot evals against other base checkpoints. HF safetensors count is 81,286,433,408 params.

ReasoningCodingVisionFunction callingTool useAgentic
1144.1
Elo · rank #210
Parameters
80B
Active params
3B (MoE)
Context
256K tokens
Architecture
Hybrid-attention MoE base model trained from scratch: 12 × (3 × (KDA → MoE) → 1 × (Gated Attention → MoE))
License
Apache 2.0
Languages
2+
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
LiveCodeBenchCoding50.5%#121
best: DeepSeek-V4-Pro (Think Max) · 93.5%
MATH-500Math91.1%#43
best: GPT-5 · 99.4%
MMLU-ProKnowledge66.8%#101
best: Claude Fable 5 · 91.5%
SuperGPQAReasoning44.3%#21
best: Qwen3.7-Max · 73.6%
TriviaQAKnowledge79.0%#14
best: Sarvam-1 (2B) · 90.6%
Run it locally
VRAM @ Q4
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VRAM @ FP16
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Fits on (Q4)
Multi-node cluster required
Throughput data unavailable.
Quantizations
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Fine-tune it
Permissive
QLoRA54.4 GB1× A100 80GB
LoRA170.4 GB1× B200 192GB
Full fine-tune1284.0 GB8× B200 192GB
QLoRA SFT on ~10k samples ≈ $56.26 (1× A100 80GB)
AliceAI Foundation family
Elo progression across releases
API price weights · each benchmark row carries its own source badge (see methodology)