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DeepSeek R1 Distill Qwen 1.5B vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 31.2% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick 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 Maverick was developed as a variant in Meta's fourth-generation language model family, designed to explore specialized capabilities and training approaches. Built to push the boundaries of open-source model development, it represents experimentation with advanced techniques in the Llama lineage.
2 months newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Llama 4 Maverick
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 Maverick
Average Score:56.6%(+31.2%)
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 Maverick
7 providers
DeepInfra
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:25.4%
Providers:0
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Llama 4 Maverick
Avg Score:56.6%(+31.2%)
Providers:7