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Gemma 3 12B vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 16.0% higher average benchmark score. o3-mini offers 37.9K more tokens in context window than Gemma 3 12B. Gemma 3 12B is $5.35 cheaper per million tokens. Gemma 3 12B supports multimodal inputs. Overall, o3-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
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
1 month newer
o3-mini
OpenAI
2025-01-30
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($5.35 cheaper)
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o3-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Gemma 3 12B
Average Score:55.0%
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o3-mini
Average Score:71.0%(+16.0%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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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o3-mini
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Gemma 3 12B
Avg Score:55.0%
Providers:1
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o3-mini
Avg Score:71.0%(+16.0%)
Providers:2