Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 41.2% higher average benchmark score. Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 32B
DeepSeek
2025-01-20
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 19 common benchmarks
DeepSeek R1 Distill Qwen 32B
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Phi-4-multimodal-instruct
DeepSeek R1 Distill Qwen 32B
Phi-4-multimodal-instruct
DeepSeek R1 Distill Qwen 32B
Phi-4-multimodal-instruct
DeepInfra