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Kimi K2 Base vs Llama 3.1 Nemotron 70B Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 4.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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.
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NVIDIA
Llama 3.1 Nemotron 70B was developed by NVIDIA through customization of Meta's Llama 3.1 70B, designed to enhance performance for specific use cases and deployments. Built with NVIDIA's optimizations and fine-tuning expertise, it demonstrates how foundation models can be adapted for specialized applications.
9 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
Kimi K2 Base
Moonshot AI
2025-07-11
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Average performance across 2 common benchmarks
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Kimi K2 Base
Average Score:90.0%(+4.1%)
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Llama 3.1 Nemotron 70B Instruct
Average Score:85.8%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
2023-12-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 Base
0 providers
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Llama 3.1 Nemotron 70B Instruct
0 providers
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Kimi K2 Base
Avg Score:90.0%(+4.1%)
Providers:0
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Llama 3.1 Nemotron 70B Instruct
Avg Score:85.8%
Providers:0