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DeepSeek R1 Distill Qwen 7B vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 1.6% 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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DeepSeek
DeepSeek-R1-Distill-Qwen-7B was developed as a compact distilled model, designed to provide reasoning capabilities in an efficient 7B parameter package. Built to extend analytical AI to a broad range of applications, it balances capability with the practical benefits of a smaller model size.
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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 7B
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 7B
Average Score:43.4%
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Llama 4 Scout
Average Score:45.0%(+1.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 7B
0 providers
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Llama 4 Scout
6 providers
DeepInfra
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DeepSeek R1 Distill Qwen 7B
Avg Score:43.4%
Providers:0
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Llama 4 Scout
Avg Score:45.0%(+1.6%)
Providers:6