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DeepSeek R1 Distill Qwen 7B vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 7B leads with 18.7% higher average benchmark score. Overall, DeepSeek R1 Distill Qwen 7B is the stronger choice for coding tasks.
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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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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
5 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
DeepSeek R1 Distill Qwen 7B
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 7B
Average Score:49.1%(+18.7%)
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Phi-3.5-mini-instruct
Average Score:30.4%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 7B
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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DeepSeek R1 Distill Qwen 7B
Avg Score:49.1%(+18.7%)
Providers:0
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Phi-3.5-mini-instruct
Avg Score:30.4%
Providers:1