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DeepSeek-V3.1 vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 38.2% higher average benchmark score. DeepSeek-V3.1 offers 65.5K more tokens in context window than Kimi K2 Instruct. DeepSeek-V3.1 is $1.60 cheaper per million tokens. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K 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 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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.
6 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Kimi K2 Instruct
Moonshot AI
2025-07-11
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($1.60 cheaper)
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Kimi K2 Instruct
Input:$0.57
Output:$2.30
Performance Metrics
Context window and performance specifications
Average performance across 39 common benchmarks
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DeepSeek-V3.1
Average Score:22.6%
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Kimi K2 Instruct
Average Score:60.8%(+38.2%)
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 Instruct
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DeepSeek-V3.1
Avg Score:22.6%
Providers:2
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Kimi K2 Instruct
Avg Score:60.8%(+38.2%)
Providers:1