Top 10 Multimodal LLMs to Explore in 2025 - Analytics Vidhya
Multimodal LLMs (MLLMs) have emerged as the next frontier of artificial intelligence, bridging the gap between different data modalities such as text, images, audio, and video. Unlike traditional models that were limited to text-based information, MLLMs offer a more comprehensive and contextual understanding by integrating multiple modalities. This evolution has revolutionized various industries, enabling advanced research, automated customer support, content creation, and end-to-end data analysis.
Evolution of AI and Multimodal LLMs
In recent years, AI has advanced rapidly, moving beyond text-based models to incorporate visual, auditory, and video data. The latest Multimodal LLMs set new benchmarks in performance and versatility, paving the way for a future where multimodal computing becomes the norm.
Top 10 Multimodal LLMs in 2025
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Google Gemini 2.0
Google Gemini 2.0 is a cutting-edge multimodal LLM designed for seamless processing of text, image, audio, and video inputs. It excels in tasks like deep reasoning, content generation, and multimodal perception, making it ideal for enterprise applications.
Learn more about Google Gemini 2.0 on the Google Cloud Vertex AI page.
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Grok 3 by xAI
Grok 3 is a flagship multimodal LLM known for sophisticated reasoning, problem-solving, and real-time data processing. Its versatility in handling text, image, and audio inputs makes it suitable for a range of applications.
Access Grok 3 on the xAI Developer Portal.
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DeepSeek V3
DeepSeek V3 is a fast multimodal AI system tailored for automation, research, and creative tasks. Its capabilities span across media, healthcare, and education sectors, offering accurate results in content production, data analysis, and predictive modeling.
Explore DeepSeek V3 on the DeepSeek AI Services page.
