IFM and Inception42 launch Jais 3: six open Arabic-native agentic models (0.9B–375B) plus Jais Speech, 512K context on Hugging Face
On 2026-10-15, MBZUAI’s Institute of Foundation Models (IFM) and Inception42 released Jais 3—the first language adaptation of the open K2 Horizon fleet. Six open-weight sizes run from a 0.9B dense phone model to a 375B-A23B sparse MoE (≈23B active), plus Jais Speech for Arabic ASR. Models share one training recipe and agent stack, with up to 512K context (128K on 0.9B), Apache-2.0 weights and stage checkpoints on Hugging Face, and day-0 vLLM support.
Key Takeaways
- Sizes: 0.9B / 3.7B / 7B / 32B dense + 36B-A4B (MoE+MoVA, ~4B active) + 375B-A23B (~23B active); flagship needs ~8×H200 BF16 (model card)
- Vendor Arabic average: 375B leads open peers at 84.0 (Qwen3.5-397B 82.0); 7B scores 79.4 vs K2 Horizon base 56.4→79.6 (tech blog)
- Agents: 3.7B/7B lead their size class by ~20 points; 375B agentic average 60.2 with SWE-Bench Verified 70.2 and Terminal-Bench 2.1 73.8 (same-harness vendor runs)
- Speech: Jais Speech macro-average WER/CER 22.85/8.37 across six public ASR sets, ahead of Audar, Cohere Transcribe Arabic, omniASR (Jais page)
- Ship: Apache-2.0; HF collection IFM/jais-3; vLLM≥0.30 / SGLang≥0.5.20 recipes;
k2_horizonparsers; companion github.com/ifm-ai/JaisVoice
Linked Models & Agents: