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Kimi K2 Base vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 4.4% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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Moonshot AI
Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). 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 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
3 months newer
Llama 4 Scout
Meta
2025-04-05
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Kimi K2 Base
Average Score:42.8%(+4.4%)
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Llama 4 Scout
Average Score:38.4%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 Base
0 providers
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Llama 4 Scout
6 providers
DeepInfra
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Kimi K2 Base
Avg Score:42.8%(+4.4%)
Providers:0
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Llama 4 Scout
Avg Score:38.4%
Providers:6