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DeepSeek-V3.1 vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 33.1% higher average benchmark score. DeepSeek-V3.1 is available on 2 providers. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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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.
6 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Kimi K2 Base
Moonshot AI
2025-07-11
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.1
Average Score:84.0%(+33.1%)
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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-V3.1
2 providers
DeepInfra
Novita
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Kimi K2 Base
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DeepSeek-V3.1
Avg Score:84.0%(+33.1%)
Providers:2
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Kimi K2 Base
Avg Score:50.9%
Providers:0