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Gemma 2 27B vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 12.3% higher average benchmark score. GPT-4.1 mini supports multimodal inputs. GPT-4.1 mini is available on 2 providers. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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Gemma 2 27B was developed as an open-source language model with 27 billion parameters, designed to provide researchers and developers with a capable, instruction-tuned model for experimentation and deployment. Built to democratize access to advanced language understanding, it combines strong performance with the flexibility of open-source licensing.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
9 months newer
Gemma 2 27B
2024-06-27
GPT-4.1 mini
OpenAI
2025-04-14
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemma 2 27B
Average Score:75.2%
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GPT-4.1 mini
Average Score:87.5%(+12.3%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
2024-05-31
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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GPT-4.1 mini
2 providers
OpenAI
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Gemma 2 27B
Avg Score:75.2%
Providers:0
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GPT-4.1 mini
Avg Score:87.5%(+12.3%)
Providers:2