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DeepSeek-V3.2-Exp vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 36.5% higher average benchmark score. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
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Moonshot AI
Kimi K2 Base was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
2 months newer
Kimi K2 Base
Moonshot AI
2025-07-11
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:87.3%(+36.5%)
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Kimi K2 Base
Average Score:50.9%
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:87.3%(+36.5%)
Providers:2
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Kimi K2 Base
Avg Score:50.9%
Providers:0