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DeepSeek-V3 vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 13.2% higher average benchmark score. DeepSeek-V3 is $1.50 cheaper per million tokens. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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Moonshot AI
Kimi K2 Instruct was developed as the instruction-tuned version of Kimi K2, designed to follow user instructions reliably across diverse tasks. Built to serve general-purpose conversational and task-completion applications, it provides Moonshot's accessible interface for language AI.
6 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Kimi K2 Instruct
Moonshot AI
2025-07-11
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($1.50 cheaper)
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Kimi K2 Instruct
Input:$0.57
Output:$2.30
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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DeepSeek-V3
Average Score:62.7%
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Kimi K2 Instruct
Average Score:75.9%(+13.2%)
Performance comparison across key benchmark categories
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DeepSeek-V3
Coding42.0%
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Kimi K2 Instruct
Coding71.6%(+29.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Kimi K2 Instruct
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DeepSeek-V3
Avg Score:62.7%
Providers:1
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Kimi K2 Instruct
Avg Score:75.9%(+13.2%)
Providers:1