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Kimi K2 Instruct vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 6.7% higher average benchmark score. Kimi K2 Instruct offers 6.1K more tokens in context window than Llama 3.1 405B Instruct. Llama 3.1 405B Instruct is $1.09 cheaper per million tokens. Llama 3.1 405B Instruct is available on 8 providers. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 Instruct was developed as the instruction-tuned version of Kimi K2, designed to follow user instructions reliably across diverse tasks. Built to serve general-purpose conversational and task-completion applications, it provides Moonshot's accessible interface for language AI.
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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 Instruct
Moonshot AI
2025-07-11
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Pricing Comparison
Cost per million tokens (USD)
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Kimi K2 Instruct
Input:$0.57
Output:$2.30
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89($1.09 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Kimi K2 Instruct
Average Score:87.7%(+6.7%)
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Llama 3.1 405B Instruct
Average Score:81.0%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 Instruct
1 providers
Novita
Throughput: 45 tok/s
Latency: 0.95ms
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Llama 3.1 405B Instruct
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Kimi K2 Instruct
Avg Score:87.7%(+6.7%)
Providers:1
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Llama 3.1 405B Instruct
Avg Score:81.0%
Providers:8