Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 15.8% higher average benchmark score. Gemma 3 27B supports multimodal inputs. Overall, Qwen2.5-Coder 32B Instruct is the stronger choice for coding tasks.
Google DeepMind
Gemma 3 27B is a 27-billion-parameter open-weight model from Google DeepMind, released in March 2025 alongside the Gemma 3 12B as the higher-capability variant in the series, built with native vision-language support for text and image inputs across a 128K token context window. Among the Gemma 3 releases, the 27B delivered the strongest results on instruction-following and knowledge-intensive reasoning tasks, making it the preferred option for developers needing greater accuracy from a self-hostable model. Its open-weight availability under a permissive license made it a common starting point for vision-language fine-tuning projects.
Alibaba / Qwen
Qwen2.5-Coder-32B-Instruct is a 32-billion-parameter code-specialized model from Alibaba, released in November 2024 and trained on a large corpus spanning 92 programming languages including C, Python, Java, Rust, and domain-specific languages. The model was designed to provide competitive code generation, repair, and reasoning capabilities as an open-weight alternative for developers building code assistant tools and automated review pipelines. Its 128K context window enables whole-file and multi-file code comprehension, making it particularly suited for complex repository-level tasks.
4 months newer
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12

Gemma 3 27B
Google DeepMind
2025-03-12
Average performance across 1 common benchmarks
Gemma 3 27B
Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories
Gemma 3 27B
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
Gemma 3 27B
Qwen2.5-Coder 32B Instruct
Gemma 3 27B
Qwen2.5-Coder 32B Instruct