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Kimi K2 Base vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 2.9% higher average benchmark score. Llama 3.1 405B Instruct is available on 8 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 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
11 months newer
Llama 3.1 405B 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 5 common benchmarks
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Kimi K2 Base
Average Score:73.5%
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Llama 3.1 405B Instruct
Average Score:76.4%(+2.9%)
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 405B Instruct
8 providers
Bedrock
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Kimi K2 Base
Avg Score:73.5%
Providers:0
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Llama 3.1 405B Instruct
Avg Score:76.4%(+2.9%)
Providers:8