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Phi-3.5-vision-instruct vs Qwen3 30B A3B
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 1.7% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Qwen3 30B A3B is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). 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 2024, it represents Microsoft's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen3 30B A3B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 73.3% across 8 benchmarks. It excels particularly in Arena Hard (91.0%), AIME 2024 (80.4%), LiveBench (74.3%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. 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.
8 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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Phi-3.5-vision-instruct
Average Score:36.1%(+1.7%)
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Qwen3 30B A3B
Average Score:34.5%
Provider Availability & Performance
Available providers and their performance metrics
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Phi-3.5-vision-instruct
0 providers
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Qwen3 30B A3B
3 providers
DeepInfra
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Phi-3.5-vision-instruct
Avg Score:36.1%(+1.7%)
Providers:0
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Qwen3 30B A3B
Avg Score:34.5%
Providers:3