Comprehensive side-by-side LLM comparison
Gemma 3 12B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
OpenAI
GPT-5 Codex, released by OpenAI in August 2025, is a coding-specialized large language model from the GPT-5 family engineered for software engineering, code generation, and agentic development workflows. It builds on GPT-5's architecture with optimizations targeting multi-file code editing, test generation, and automated debugging. GPT-5 Codex targets developers and agentic coding tools requiring a model tuned specifically for programming tasks.
4 months newer

Gemma 3 12B
Google DeepMind
2025-03-12

GPT-5 Codex
OpenAI
2025-08
Available providers and their performance metrics
Gemma 3 12B
GPT-5 Codex
Gemma 3 12B
GPT-5 Codex