Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 15.2% higher average benchmark score. Gemma 3 12B supports multimodal inputs. Overall, Qwen2.5 72B 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
Qwen2.5-72B-Instruct is the flagship of Alibaba's Qwen2.5 series, a 72-billion-parameter open-weight model released in September 2024 after training on 18 trillion tokens spanning code, mathematics, and multilingual text. It offers strong generalist performance across coding, instruction-following, and structured reasoning while remaining fully open-weight under Apache 2.0 — a combination that made it a widely referenced model in open-source evaluations and community benchmarking. The 128K context window and built-in structured output support made it a common choice for document analysis and multi-step agentic pipeline development.
5 months newer
Qwen2.5 72B Instruct
Alibaba / Qwen
2024-09-19

Gemma 3 12B
Google DeepMind
2025-03-12
Average performance across 1 common benchmarks
Gemma 3 12B
Qwen2.5 72B Instruct
Performance comparison across key benchmark categories
Gemma 3 12B
Qwen2.5 72B Instruct
Available providers and their performance metrics
Gemma 3 12B
Qwen2.5 72B Instruct
Gemma 3 12B
Qwen2.5 72B Instruct