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Kimi K2 0905 vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 37.0% higher average benchmark score. Kimi K2 0905 offers 268.3K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $3.07 cheaper per million tokens. 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 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
11 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
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 3.2 3B Instruct
Input:$0.01
Output:$0.02($3.07 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Kimi K2 0905
Average Score:85.0%(+37.0%)
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Llama 3.2 3B Instruct
Average Score:48.1%
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 3.2 3B Instruct
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Kimi K2 0905
Avg Score:85.0%(+37.0%)
Providers:2
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Llama 3.2 3B Instruct
Avg Score:48.1%
Providers:1