Google: Gemma 3 12B

Google's Gemma 3 12B model demonstrates strong overall performance, particularly excelling in speed and cost-efficiency. It consistently ranks among the fastest models and offers highly competitive pricing, making it an attractive option for cost-sensitive applications. The model also exhibits exceptional reliability with a 97% success rate, indicating minimal technical failures. In terms of specific capabilities, Gemma 3 12B shows a notable strength in Email Classification, achieving 99.0% accuracy and being the most accurate among models of comparable speed. It also performs well in Coding (85.0% accuracy) and General Knowledge (97.0% accuracy). However, the model struggles significantly with Instruction Following, showing 0.0% accuracy in one benchmark and only 19.0% in another, suggesting a key area for improvement. Its performance in Mathematics (67.0% accuracy) and Reasoning (59.2% accuracy) is moderate, indicating room for enhancement in complex problem-solving. The model's multimodality, supporting vision-language input, and advanced features like structured outputs and function calling, position it as a versatile tool despite its current limitations in instruction adherence.