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Phi-3.5-mini-instruct vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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
Qwen2.5-VL 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
5 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
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Performance Metrics
Context window and performance specifications
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 VL 7B Instruct
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Phi-3.5-mini-instruct
Avg Score:0.0%
Providers:1
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Qwen2.5 VL 7B Instruct
Avg Score:0.0%
Providers:0