Top Small Language Models in 2025

Simran Mishra

Llama 3.1 8B by Meta powers research and AI tools with nuanced responses and diverse applications.

Mistral 7B offers high efficiency and versatility for chatbots, content generation, and global knowledge tasks.

Gemma 2/3 by Google delivers multimodal text-image AI, lightweight yet powerful for diverse needs.

Phi-3 by Microsoft excels in reasoning and code generation, built for on-device and low-resource AI.

Qwen2 by Alibaba stands out in multilingual tasks and instruction following with scalable model sizes.

Falcon 2 11B enables multimodal capabilities with strong support for vision-language and multilingual AI.

StableLM-Zephyr 3B by Stability AI offers safe reasoning, alignment, and efficient SMB deployment.

MobileLLaMA 1.4B is optimized for mobile and edge AI, balancing speed with a compact footprint.

MiniCPM-V is a bilingual vision-language model designed for fast, low-memory inference and efficiency.

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