Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 7.5% higher average benchmark score. DeepSeek-V3 offers 6.1K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $1.22 cheaper per million tokens. Phi-4-multimodal-instruct supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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.
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.
1 month newer
DeepSeek-V3
DeepSeek
2024-12-25
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Cost per million tokens (USD)
DeepSeek-V3
Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 35 common benchmarks
DeepSeek-V3
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Phi-4-multimodal-instruct
DeepSeek-V3
Phi-4-multimodal-instruct
DeepSeek-V3
Phi-4-multimodal-instruct
DeepInfra