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Kimi K2 Base vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 3.5% 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 was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
3 months newer
Llama 4 Scout
Meta
2025-04-05
Kimi K2 Base
Moonshot AI
2025-07-11
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Kimi K2 Base
Average Score:68.8%(+3.5%)
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Llama 4 Scout
Average Score:65.3%
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:68.8%(+3.5%)
Providers:0
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Llama 4 Scout
Avg Score:65.3%
Providers:6