Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 18.7% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, Phi-3.5-vision-instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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.
7 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
DeepSeek-V3 0324
DeepSeek
2025-03-25
Context window and performance specifications
Average performance across 14 common benchmarks
DeepSeek-V3 0324
Phi-3.5-vision-instruct
Available providers and their performance metrics
DeepSeek-V3 0324
Novita
Phi-3.5-vision-instruct
DeepSeek-V3 0324
Phi-3.5-vision-instruct
DeepSeek-V3 0324
Phi-3.5-vision-instruct