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Gemma 3 27B vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 11.1% higher average benchmark score. Gemma 3 27B offers 68.6K more tokens in context window than o1-mini. Gemma 3 27B is $14.70 cheaper per million tokens. Gemma 3 27B supports multimodal inputs. Overall, o1-mini is the stronger choice for coding tasks.
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Gemma 3 27B represents the largest variant in the Gemma 3 family, developed to provide flagship-level open-source capabilities. Built with advanced training methodologies and 27 billion parameters, it offers researchers and developers access to powerful language understanding without proprietary restrictions.
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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 27B
2025-03-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 27B
Input:$0.10
Output:$0.20($14.70 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 27B
Average Score:65.1%
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o1-mini
Average Score:76.2%(+11.1%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 27B
2 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
Novita
Throughput: 33 tok/s
Latency: 0.2ms
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Gemma 3 27B
Avg Score:65.1%
Providers:2
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o1-mini
Avg Score:76.2%(+11.1%)
Providers:2