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Gemma 3 12B vs GPT-4o mini
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 4.2% higher average benchmark score. Gemma 3 12B offers 117.8K more tokens in context window than GPT-4o mini. Gemma 3 12B is $0.60 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
7 months newer
GPT-4o mini
OpenAI
2024-07-18
Gemma 3 12B
2025-03-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 12B
Input:$0.05
Output:$0.10($0.60 cheaper)
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GPT-4o mini
Input:$0.15
Output:$0.60
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemma 3 12B
Average Score:70.0%(+4.2%)
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GPT-4o mini
Average Score:65.9%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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-4o mini
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Gemma 3 12B
Avg Score:70.0%(+4.2%)
Providers:1
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GPT-4o mini
Avg Score:65.9%
Providers:1