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Kimi K2 Base vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 4.5% higher average benchmark score. Llama 3.1 70B Instruct is available on 9 providers. 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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Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
11 months newer
Llama 3.1 70B Instruct
Meta
2024-07-23
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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Kimi K2 Base
Average Score:68.4%(+4.5%)
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Llama 3.1 70B Instruct
Average Score:63.9%
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 70B Instruct
9 providers
Bedrock
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Kimi K2 Base
Avg Score:68.4%(+4.5%)
Providers:0
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Llama 3.1 70B Instruct
Avg Score:63.9%
Providers:9