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DeepSeek-V3.2-Exp vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 13.5% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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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.
1 year newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:40.2%(+13.5%)
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Phi-3.5-vision-instruct
Average Score:26.7%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Phi-3.5-vision-instruct
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DeepSeek-V3.2-Exp
Avg Score:40.2%(+13.5%)
Providers:2
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Phi-3.5-vision-instruct
Avg Score:26.7%
Providers:0