Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 36.4% higher average benchmark score. DeepSeek-V3 0324 offers 71.7K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $1.27 cheaper per million tokens. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-4-multimodal-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-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
Phi-4-multimodal-instruct
Microsoft
2025-02-01
DeepSeek-V3 0324
DeepSeek
2025-03-25
Cost per million tokens (USD)
DeepSeek-V3 0324
Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 20 common benchmarks
DeepSeek-V3 0324
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
DeepSeek-V3 0324
Novita
Phi-4-multimodal-instruct
DeepSeek-V3 0324
Phi-4-multimodal-instruct
DeepSeek-V3 0324
Phi-4-multimodal-instruct
DeepInfra