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Gemma 3 12B vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 9.7% higher average benchmark score. GPT-4.1 mini offers 818.2K more tokens in context window than Gemma 3 12B. Gemma 3 12B is $1.85 cheaper per million tokens. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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Gemma 3 12B was developed as part of the third generation of Google's open-source model family, designed to provide enhanced capabilities in a mid-sized format. Built with improved architecture and training techniques, it balances performance with practical deployment considerations for diverse use cases.
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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 12B
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 12B
Input:$0.05
Output:$0.10($1.85 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 12B
Average Score:64.9%
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GPT-4.1 mini
Average Score:74.6%(+9.7%)
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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 12B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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GPT-4.1 mini
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Gemma 3 12B
Avg Score:64.9%
Providers:1
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GPT-4.1 mini
Avg Score:74.6%(+9.7%)
Providers:2