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Gemma 3 12B vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 13.1% higher average benchmark score. Gemma 3 12B offers 68.6K more tokens in context window than o1-mini. Gemma 3 12B is $14.85 cheaper per million tokens. Gemma 3 12B supports multimodal inputs. Overall, o1-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
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
6 months newer
o1-mini
OpenAI
2024-09-12
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($14.85 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 3 12B
Average Score:63.1%
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o1-mini
Average Score:76.2%(+13.1%)
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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o1-mini
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Gemma 3 12B
Avg Score:63.1%
Providers:1
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o1-mini
Avg Score:76.2%(+13.1%)
Providers:2