Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 10.5% higher average benchmark score. Gemma 3 12B supports multimodal inputs. Overall, Qwen2.5-Coder 7B Instruct is the stronger choice for coding tasks.
Google DeepMind
Gemma 3 12B is a 12-billion-parameter open-weight model from Google DeepMind, released in March 2025 as part of the Gemma 3 series designed to bring multimodal reasoning to accessible hardware. The model supports both text and image inputs across a 128K token context window, extending the vision capabilities that defined the Gemma 3 generation compared to earlier text-only Gemma releases. It became widely adopted for domain-specific fine-tuning in research and enterprise settings where full multimodal capability was needed without the infrastructure demands of larger frontier models.
Alibaba / Qwen
Qwen2.5-Coder-7B-Instruct is a 7-billion-parameter code-specialized model from Alibaba, released in November 2024 as part of the Qwen2.5-Coder family, trained on a curated corpus spanning 92 programming languages with emphasis on code generation, debugging, and fill-in-the-middle completion. Built on the Qwen2.5 architecture, it extends the base series' improvements in instruction-following and long-context handling to coding-specific tasks within a compact deployable footprint. It became popular for integration into IDE extensions, CI pipelines, and self-hosted code assistant tools.
4 months newer
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12

Gemma 3 12B
Google DeepMind
2025-03-12
Average performance across 1 common benchmarks
Gemma 3 12B
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
Gemma 3 12B
Qwen2.5-Coder 7B Instruct
Available providers and their performance metrics
Gemma 3 12B
Qwen2.5-Coder 7B Instruct
Gemma 3 12B
Qwen2.5-Coder 7B Instruct