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DeepSeek R1 Distill Qwen 1.5B vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 12.9% higher average benchmark score. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B Instruct 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 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
3 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:33.8%
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Llama 3.2 90B Instruct
Average Score:46.7%(+12.9%)
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 3.2 90B Instruct
5 providers
Bedrock
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:33.8%
Providers:0
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Llama 3.2 90B Instruct
Avg Score:46.7%(+12.9%)
Providers:5