Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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.
OpenAI
GPT-4.1, released by OpenAI in April 2025, is a large language model from the GPT-4 family optimized for coding, precise instruction following, and long-context tasks. It features a 1M token context window and native image understanding, with improved performance on tool-calling and web development benchmarks compared to GPT-4o. GPT-4.1 targets software development workflows, long-document analysis, and applications requiring accurate, instruction-adherent outputs.
1 month newer

Gemma 3 27B
Google DeepMind
2025-03-12

GPT-4.1
OpenAI
2025-04-14
Context window and performance specifications
Available providers and their performance metrics
Gemma 3 27B
GPT-4.1
OpenAI
Gemma 3 27B
GPT-4.1
Gemma 3 27B
GPT-4.1