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Gemma 3 27B vs Grok 3 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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xAI
Grok 3 mini, released by xAI alongside Grok 3 in February 2025, is a compact reasoning model from the Grok 3 family featuring RL-enhanced Think mode for extended chain-of-thought processing. It features a 131K token context window and targets STEM tasks, mathematics, and coding applications where cost-efficient reasoning with configurable depth is required.
23 days newer
Grok 3 mini
xAI
2025-02-17
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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Grok 3 mini
1 providers
xAI
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Gemma 3 27B
Avg Score:0.0%
Providers:0
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Grok 3 mini
Avg Score:0.0%
Providers:1