Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 47.0% higher average benchmark score. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 Microsoft's latest advancement in AI technology.
12 days newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Context window and performance specifications
Average performance across 19 common benchmarks
DeepSeek R1 Distill Qwen 1.5B
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 1.5B
Phi-4-multimodal-instruct
DeepInfra
DeepSeek R1 Distill Qwen 1.5B
Phi-4-multimodal-instruct
DeepSeek R1 Distill Qwen 1.5B
Phi-4-multimodal-instruct