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Gemma 2 27B vs Grok-3
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 32.3% higher average benchmark score. Grok-3 supports multimodal inputs. Overall, Gemma 2 27B is the stronger choice for coding tasks.
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Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.
7 months newer
Gemma 2 27B
2024-06-27
Grok-3
xAI
2025-02-17
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Gemma 2 27B
Average Score:52.7%(+32.3%)
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Grok-3
Average Score:20.4%
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Knowledge Cutoff
Training data recency comparison
Grok-3
2024-11-17
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 27B
0 providers
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Grok-3
1 providers
xAI
Throughput:
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Gemma 2 27B
Avg Score:52.7%(+32.3%)
Providers:0
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Grok-3
Avg Score:20.4%
Providers:1