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DeepSeek-V3.2-Exp vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 1.1% higher average benchmark score. DeepSeek-V3.2-Exp is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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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.
2 months newer
Kimi K2 Base
Moonshot AI
2025-07-11
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:38.6%(+1.1%)
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Kimi K2 Base
Average Score:37.5%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Kimi K2 Base
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DeepSeek-V3.2-Exp
Avg Score:38.6%(+1.1%)
Providers:2
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Kimi K2 Base
Avg Score:37.5%
Providers:0