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Gemma 3 27B vs o3 mini
Comprehensive side-by-side LLM comparison
Gemma 3 27B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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.
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OpenAI
OpenAI o3 mini, released by OpenAI in January 2025, is a compact reasoning model from the o3 family designed for efficient, cost-effective STEM problem-solving. It features a 200K token context window and adjustable chain-of-thought effort settings, allowing developers to trade reasoning depth for speed. o3 mini targets science, mathematics, and coding applications where lower inference cost and faster response times are a priority.
1 month newer
o3 mini
OpenAI
2025-01-31
Gemma 3 27B
Google DeepMind
2025-03-12
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 27B
0 providers
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o3 mini
1 providers
OpenAI
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Gemma 3 27B
Avg Score:0.0%
Providers:0
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o3 mini
Avg Score:0.0%
Providers:1