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Phi-3.5-mini-instruct vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 24.7% higher average benchmark score. Phi-3.5-mini-instruct offers 116.7K more tokens in context window than Qwen2.5 72B Instruct. Phi-3.5-mini-instruct is $0.55 cheaper per million tokens. Qwen2.5 72B Instruct is available on 4 providers. Overall, Qwen2.5 72B Instruct is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
Qwen 2.5 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
27 days newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Pricing Comparison
Cost per million tokens (USD)
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.55 cheaper)
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Qwen2.5 72B Instruct
Input:$0.35
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Phi-3.5-mini-instruct
Average Score:54.6%
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Qwen2.5 72B Instruct
Average Score:79.3%(+24.7%)
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 72B Instruct
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Phi-3.5-mini-instruct
Avg Score:54.6%
Providers:1
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Qwen2.5 72B Instruct
Avg Score:79.3%(+24.7%)
Providers:4