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Gemma 3 27B vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 8.2% higher average benchmark score. GPT-4.1 mini offers 818.2K more tokens in context window than Gemma 3 27B. Gemma 3 27B is $1.70 cheaper per million tokens. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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Gemma 3 27B represents the largest variant in the Gemma 3 family, developed to provide flagship-level open-source capabilities. Built with advanced training methodologies and 27 billion parameters, it offers researchers and developers access to powerful language understanding without proprietary restrictions.
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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.
1 month newer
Gemma 3 27B
2025-03-12
GPT-4.1 mini
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 27B
Input:$0.10
Output:$0.20($1.70 cheaper)
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GPT-4.1 mini
Input:$0.40
Output:$1.60
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 3 27B
Average Score:66.4%
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GPT-4.1 mini
Average Score:74.6%(+8.2%)
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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 3 27B
2 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
Novita
Throughput: 33 tok/s
Latency: 0.2ms
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Gemma 3 27B
Avg Score:66.4%
Providers:2
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GPT-4.1 mini
Avg Score:74.6%(+8.2%)
Providers:2