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Kimi K2 Instruct vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 34.7% higher average benchmark score. Kimi K2 Instruct offers 6.1K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $2.84 cheaper per million tokens. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. 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.
9 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Kimi K2 Instruct
Moonshot AI
2025-07-11
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 3.2 3B Instruct
Input:$0.01
Output:$0.02($2.84 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 49 common benchmarks
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Kimi K2 Instruct
Average Score:51.7%(+34.7%)
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Llama 3.2 3B Instruct
Average Score:17.0%
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 3.2 3B Instruct
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Kimi K2 Instruct
Avg Score:51.7%(+34.7%)
Providers:1
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Llama 3.2 3B Instruct
Avg Score:17.0%
Providers:1