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Kimi K2 0905 vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 11.6% higher average benchmark score. Kimi K2 0905 offers 268.3K more tokens in context window than Llama 3.1 405B Instruct. Llama 3.1 405B Instruct is $1.32 cheaper per million tokens. Llama 3.1 405B Instruct is available on 8 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 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.
1 year newer
Llama 3.1 405B 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 405B Instruct
Input:$0.89
Output:$0.89($1.32 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Kimi K2 0905
Average Score:86.4%(+11.6%)
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Llama 3.1 405B Instruct
Average Score:74.8%
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 405B Instruct
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Kimi K2 0905
Avg Score:86.4%(+11.6%)
Providers:2
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Llama 3.1 405B Instruct
Avg Score:74.8%
Providers:8