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Kimi K2 Base vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 2.7% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
9 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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Kimi K2 Base
Average Score:37.5%(+2.7%)
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Llama 3.2 3B Instruct
Average Score:34.8%
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 3B Instruct
1 providers
DeepInfra
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Kimi K2 Base
Avg Score:37.5%(+2.7%)
Providers:0
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Llama 3.2 3B Instruct
Avg Score:34.8%
Providers:1