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Kimi K2 Base vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 9.5% higher average benchmark score. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
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Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
9 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Kimi K2 Base
Average Score:42.8%(+9.5%)
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Llama 3.2 11B Instruct
Average Score:33.3%
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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 Base
0 providers
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Llama 3.2 11B Instruct
6 providers
Bedrock
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Kimi K2 Base
Avg Score:42.8%(+9.5%)
Providers:0
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Llama 3.2 11B Instruct
Avg Score:33.3%
Providers:6