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DeepSeek R1 Distill Qwen 1.5B vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 19.6% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
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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.
2 months newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Llama 4 Scout
Meta
2025-04-05
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:25.4%
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Llama 4 Scout
Average Score:45.0%(+19.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 1.5B
0 providers
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Llama 4 Scout
6 providers
DeepInfra
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:25.4%
Providers:0
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Llama 4 Scout
Avg Score:45.0%(+19.6%)
Providers:6