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Phi-3.5-mini-instruct vs Qwen2.5 32B Instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 12.7% higher average benchmark score. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
27 days newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen2.5 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Performance Metrics
Context window and performance specifications
Average performance across 38 common benchmarks
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Phi-3.5-mini-instruct
Average Score:47.9%(+12.7%)
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Qwen2.5 32B Instruct
Average Score:35.2%
Provider Availability & Performance
Available providers and their performance metrics
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Phi-3.5-mini-instruct
1 providers
Azure
Throughput: 23 tok/s
Latency: 0.52ms
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Qwen2.5 32B Instruct
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Phi-3.5-mini-instruct
Avg Score:47.9%(+12.7%)
Providers:1
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Qwen2.5 32B Instruct
Avg Score:35.2%
Providers:0