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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 leads with 3.9% higher average benchmark score. 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-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 VL 7B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
5 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Performance Metrics
Context window and performance specifications
Average performance across 63 common benchmarks
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Phi-3.5-mini-instruct
Average Score:28.9%
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Qwen2.5 VL 7B Instruct
Average Score:32.8%(+3.9%)
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:28.9%
Providers:1
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Qwen2.5 VL 7B Instruct
Avg Score:32.8%(+3.9%)
Providers:0