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Gemma 3 12B vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 5.8% higher average benchmark score. Gemma 3 12B supports multimodal inputs. Overall, Kimi K2 Base 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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Moonshot AI
Kimi K2 Base was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
4 months newer
Gemma 3 12B
2025-03-12
Kimi K2 Base
Moonshot AI
2025-07-11
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Gemma 3 12B
Average Score:57.2%
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Kimi K2 Base
Average Score:63.0%(+5.8%)
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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Kimi K2 Base
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Gemma 3 12B
Avg Score:57.2%
Providers:1
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Kimi K2 Base
Avg Score:63.0%(+5.8%)
Providers:0