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Kimi K2 0905 vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.3 70B Instruct leads with 21.5% higher average benchmark score. Kimi K2 0905 offers 268.3K more tokens in context window than Llama 3.3 70B Instruct. Llama 3.3 70B Instruct is $2.70 cheaper per million tokens. Llama 3.3 70B Instruct is available on 9 providers. Overall, Llama 3.3 70B 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 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
9 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
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 3.3 70B Instruct
Input:$0.20
Output:$0.20($2.70 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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Kimi K2 0905
Average Score:50.4%
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Llama 3.3 70B Instruct
Average Score:71.9%(+21.5%)
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 3.3 70B Instruct
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Kimi K2 0905
Avg Score:50.4%
Providers:2
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Llama 3.3 70B Instruct
Avg Score:71.9%(+21.5%)
Providers:9