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Gemma 3 12B vs GPT-5 mini
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 41.4% higher average benchmark score. GPT-5 mini offers 265.9K more tokens in context window than Gemma 3 12B. Gemma 3 12B is $2.10 cheaper per million tokens. Overall, GPT-5 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-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
4 months newer
Gemma 3 12B
2025-03-12
GPT-5 mini
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 12B
Input:$0.05
Output:$0.10($2.10 cheaper)
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GPT-5 mini
Input:$0.25
Output:$2.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemma 3 12B
Average Score:40.9%
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GPT-5 mini
Average Score:82.3%(+41.4%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
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-5 mini
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Gemma 3 12B
Avg Score:40.9%
Providers:1
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GPT-5 mini
Avg Score:82.3%(+41.4%)
Providers:2