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Kimi K2 0905 vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 30.6% higher average benchmark score. Kimi K2 0905 offers 262.1K more tokens in context window than Llama 3.1 8B Instruct. Llama 3.1 8B Instruct is $3.04 cheaper per million tokens. Llama 3.1 8B Instruct is available on 9 providers. Overall, Kimi K2 0905 is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
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Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
1 year newer
Llama 3.1 8B Instruct
Meta
2024-07-23
Kimi K2 0905
Moonshot AI
2025-09-05
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Pricing Comparison
Cost per million tokens (USD)
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Kimi K2 0905
Input:$0.60
Output:$2.50
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Llama 3.1 8B Instruct
Input:$0.03
Output:$0.03($3.04 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Kimi K2 0905
Average Score:85.8%(+30.6%)
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Llama 3.1 8B Instruct
Average Score:55.2%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
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 0905
2 providers
Novita
ZeroEval
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Llama 3.1 8B Instruct
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Kimi K2 0905
Avg Score:85.8%(+30.6%)
Providers:2
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Llama 3.1 8B Instruct
Avg Score:55.2%
Providers:9