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DeepSeek R1 Distill Qwen 14B vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 45.1% higher average benchmark score. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 14B is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.5% across 4 benchmarks. It excels particularly in MATH-500 (93.9%), AIME 2024 (80.0%), GPQA (59.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
5 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:8.4%
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Phi-3.5-mini-instruct
Average Score:53.5%(+45.1%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 14B
0 providers
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Phi-3.5-mini-instruct
1 providers
Azure
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DeepSeek R1 Distill Qwen 14B
Avg Score:8.4%
Providers:0
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Phi-3.5-mini-instruct
Avg Score:53.5%(+45.1%)
Providers:1