Comprehensive side-by-side LLM comparison
Gemma 3 27B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Mistral AI
Devstral 2, released by Mistral AI on December 9, 2025, is a 123 billion parameter dense transformer model specifically designed for software engineering tasks. It features a 256K token context window and achieved 72.2% on SWE-bench Verified at release, making it a competitive open-weight option for automated coding and agentic development. Devstral 2 targets code generation, multi-file software engineering, and agentic development workflows under a modified MIT license.
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.
9 months newer

Gemma 3 27B
Google DeepMind
2025-03-12

Devstral-2-123B
Mistral AI
2025-12-09
Context window and performance specifications
Available providers and their performance metrics
Devstral-2-123B
OpenRouter
Gemma 3 27B
Devstral-2-123B
Gemma 3 27B
Devstral-2-123B
Gemma 3 27B