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Gemma 3 12B vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 17.8% higher average benchmark score. Kimi K2 0905 offers 262.1K more tokens in context window than Gemma 3 12B. Gemma 3 12B is $2.95 cheaper per million tokens. Gemma 3 12B supports multimodal inputs. Overall, Kimi K2 0905 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 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
5 months newer
Gemma 3 12B
2025-03-12
Kimi K2 0905
Moonshot AI
2025-09-05
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 12B
Input:$0.05
Output:$0.10($2.95 cheaper)
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Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Gemma 3 12B
Average Score:67.7%
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Kimi K2 0905
Average Score:85.5%(+17.8%)
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 0905
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Gemma 3 12B
Avg Score:67.7%
Providers:1
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Kimi K2 0905
Avg Score:85.5%(+17.8%)
Providers:2