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Gemma 3 27B vs o1 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 o1 mini, released by OpenAI in September 2024, is a lightweight reasoning model from the o1 family optimized for efficient STEM problem-solving at lower cost and latency. It features a 128K token context window and applies chain-of-thought reasoning specifically tuned for mathematics, science, and coding tasks. o1 mini targets use cases where rapid, cost-efficient reasoning is preferred over the broader capabilities of the full o1 model.
6 months newer
o1 mini
OpenAI
2024-09-12
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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o1 mini
1 providers
OpenAI
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Gemma 3 27B
Avg Score:0.0%
Providers:0
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o1 mini
Avg Score:0.0%
Providers:1