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Kimi K2 0905 vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 17.7% higher average benchmark score. Kimi K2 0905 offers 268.3K more tokens in context window than Llama 3.1 70B Instruct. Llama 3.1 70B Instruct is $2.70 cheaper per million tokens. Llama 3.1 70B 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 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.
1 year newer
Llama 3.1 70B 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 70B Instruct
Input:$0.20
Output:$0.20($2.70 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%(+17.7%)
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Llama 3.1 70B Instruct
Average Score:68.0%
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 70B Instruct
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Kimi K2 0905
Avg Score:85.8%(+17.7%)
Providers:2
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Llama 3.1 70B Instruct
Avg Score:68.0%
Providers:9