Technology ❯ Artificial Intelligence ❯ Model Performance
Comparative Analysis MMLU Scores Multimodal Models International Mathematics Olympiad MMLU Benchmark Vision-Language Tasks Orion Chatbot Arena Coding Tests DeepSeek Reinforcement Learning Gemini 2.0 Pro User Experience SWE-Bench Scores Llama-4 Models Latency-Sensitive Tasks Coding Efficiency Coding Proficiency Real-world Applications Gemini 2.5 Flash-Lite Performance Metrics AIME 2025 USAMO 2025 User Reviews o3-pro Deception Metrics Reasoning Tasks GPT Models Refinement Challenges Speed Comparison OmniBenchDoc Vision Workloads MLPerf MMLU and MGSM Scores Multilingual MMLU
The 0.9B model pairs a NaViT-style visual encoder with an ERNIE-4.5-0.3B language model for multilingual document parsing across 109 languages, with SOTA results reported by the authors.
