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Kimi K2 0905 vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 18.3% 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, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
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Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
11 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Kimi K2 0905
Moonshot AI
2025-09-05
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 18 common benchmarks
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Kimi K2 0905
Average Score:28.0%
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Llama 3.2 3B Instruct
Average Score:46.3%(+18.3%)
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:28.0%
Providers:2
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Llama 3.2 3B Instruct
Avg Score:46.3%(+18.3%)
Providers:1