Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 3.4% higher average benchmark score. 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.
Mistral AI
Mistral Small 3 is a 24-billion-parameter open-weight language model from Mistral AI, released in January 2025 as an update to the Mistral Small line with targeted improvements to instruction-following, multilingual reasoning, and structured output quality. Released under Apache 2.0, it was designed for deployment on a single high-VRAM GPU, continuing Mistral's focus on practical efficiency over maximum scale. The model became a widely-used option for teams building internal tooling, customer-facing applications, and local inference pipelines that needed strong general capability without the operational overhead of larger models.
1 month newer

Mistral Small 3 24B
Mistral AI
2025-01-30

Gemma 3 12B
Google DeepMind
2025-03-12
Average performance across 1 common benchmarks
Gemma 3 12B
Mistral Small 3 24B
Performance comparison across key benchmark categories
Gemma 3 12B
Mistral Small 3 24B
Available providers and their performance metrics
Gemma 3 12B
Mistral Small 3 24B
Gemma 3 12B
Mistral Small 3 24B