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DeepSeek-V3.2-Exp vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 3.3% 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. Both models have their strengths depending on your specific coding needs.
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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 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
24 days newer
Kimi K2 0905
Moonshot AI
2025-09-05
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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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 2 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:82.5%(+3.3%)
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Kimi K2 0905
Average Score:79.1%
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:82.5%(+3.3%)
Providers:2
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Kimi K2 0905
Avg Score:79.1%
Providers:2