Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-V3 0324
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%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Phi-4-multimodal-instruct
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%). The model shows particular specialization in general tasks with an average performance of 75.8%. 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.

Phi-4-multimodal-instruct
Microsoft
2025-02-01

DeepSeek-V3 0324
DeepSeek
2025-03-25
1 month newer
Performance Metrics
Context window and performance specifications

DeepSeek-V3 0324

Phi-4-multimodal-instruct
Performance comparison across key benchmark categories

DeepSeek-V3 0324

Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3 0324

Phi-4-multimodal-instruct
DeepInfra

DeepSeek-V3 0324

Phi-4-multimodal-instruct