AIC-1: benchmark results

The Applied Innovation Center's open-weight AIC-1 (September 2025), a 32B-parameter Arabic-specialized fine-tune of Qwen2.5-32B-Instruct, tuned via instruction fine-tuning and DPO. Provider: Applied Innovation Center. Released 2025-09-10. Access: Open.

Aggregate Rating 1688 ± 33, rank #223 of 1635 rated models, from 139 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Open Arabic LLM - Alghafa Multiple Choice Grounded Statement Soqal Task96.67Accuracy (%)100
QIMMA - AraTrust90.61Accuracy (%, log-likelihood multiple choice)100
QIMMA - GAT62.11Accuracy (%, log-likelihood multiple choice)100
Open Arabic LLM - Arabic MMLU Arabic Language (Grammar)72.6Accuracy (%)99.4
Open Arabic LLM - Madinah QA Arabic Language (Grammar)74.79Accuracy (%)99.4
Open Arabic LLM - Madinah QA Average78Accuracy (%)99.4
Open Arabic LLM - Aratrust Trustfulness82.05Accuracy (%)99.1
Open Arabic LLM - Alghafa Average79Accuracy (%)98.1
Open Arabic LLM - Alghafa Meta AR MSA91.73Accuracy (%)97.5
Open Arabic LLM - Arabic MMLU HT US Foreign Policy87Accuracy (%)97.5
Open Arabic LLM - Arabic MMLU HT Jurisprudence78.7Accuracy (%)97.2
Open Arabic LLM - Arabic MMLU Geography (Primary School)82.46Accuracy (%)96.9

Interactive version: theaggregate.ai/model?slug=aic-1 · How It Works · Data refreshed daily, snapshot 2026-10-15.