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DeepSeek-V3 vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 25.1% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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.
4 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
DeepSeek-V3
DeepSeek
2024-12-25
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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DeepSeek-V3
Average Score:46.3%(+25.1%)
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Phi-3.5-vision-instruct
Average Score:21.2%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Phi-3.5-vision-instruct
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DeepSeek-V3
Avg Score:46.3%(+25.1%)
Providers:1
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Phi-3.5-vision-instruct
Avg Score:21.2%
Providers:0