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Kimi K2 0905 vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 32.5% higher average benchmark score. Kimi K2 0905 offers 268.3K more tokens in context window than Llama 3.2 11B Instruct. Llama 3.2 11B Instruct is $3.00 cheaper per million tokens. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, Kimi K2 0905 is the stronger choice for coding tasks.
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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.
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Meta
Llama 3.2 11B was introduced as a mid-sized variant in the Llama 3.2 family, designed to offer enhanced capabilities while maintaining efficiency. Built to provide a balanced option for applications requiring more than lightweight models but less than flagship sizes, it serves diverse use cases in the open-source community.
11 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
Kimi K2 0905
Moonshot AI
2025-09-05
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Pricing Comparison
Cost per million tokens (USD)
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Kimi K2 0905
Input:$0.60
Output:$2.50
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Llama 3.2 11B Instruct
Input:$0.05
Output:$0.05($3.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Kimi K2 0905
Average Score:85.0%(+32.5%)
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Llama 3.2 11B Instruct
Average Score:52.6%
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 0905
2 providers
Novita
ZeroEval
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Llama 3.2 11B Instruct
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Kimi K2 0905
Avg Score:85.0%(+32.5%)
Providers:2
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Llama 3.2 11B Instruct
Avg Score:52.6%
Providers:6