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Gemma 3 12B vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 40.5% higher average benchmark score. o4-mini offers 37.9K more tokens in context window than Gemma 3 12B. Gemma 3 12B is $5.35 cheaper per million tokens. Overall, o4-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
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
1 month newer
Gemma 3 12B
2025-03-12
o4-mini
OpenAI
2025-04-16
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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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o4-mini
Input:$1.10
Output:$4.40
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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o4-mini
Average Score:81.4%(+40.5%)
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Knowledge Cutoff
Training data recency comparison
o4-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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o4-mini
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Gemma 3 12B
Avg Score:40.9%
Providers:1
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o4-mini
Avg Score:81.4%(+40.5%)
Providers:1