Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 2.6% higher average benchmark score. Qwen2.5-Coder 32B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Gemma 2 9B
2024-06-27
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Context window and performance specifications
Average performance across 23 common benchmarks
Gemma 2 9B
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
Gemma 2 9B
Qwen2.5-Coder 32B Instruct
DeepInfra
Gemma 2 9B
Qwen2.5-Coder 32B Instruct
Gemma 2 9B
Qwen2.5-Coder 32B Instruct
Fireworks
Hyperbolic
Lambda