Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek R1 Distill Qwen 14B
DeepSeek
DeepSeek R1 Distill Qwen 14B is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.5% across 4 benchmarks. It excels particularly in MATH-500 (93.9%), AIME 2024 (80.0%), GPQA (59.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Gemma 2 27B
Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

Gemma 2 27B
2024-06-27

DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
6 months newer
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 14B

Gemma 2 27B
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 14B

Gemma 2 27B

DeepSeek R1 Distill Qwen 14B

Gemma 2 27B