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DeepSeek-V3.2-Exp vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 23.4% higher average benchmark score. Kimi K2 0905 offers 294.9K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $2.42 cheaper per million tokens. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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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 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
24 days newer
Kimi K2 0905
Moonshot AI
2025-09-05
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41($2.42 cheaper)
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Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:51.4%(+23.4%)
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Kimi K2 0905
Average Score:28.0%
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 0905
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DeepSeek-V3.2-Exp
Avg Score:51.4%(+23.4%)
Providers:2
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Kimi K2 0905
Avg Score:28.0%
Providers:2