Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 5.0% higher average benchmark score. DeepSeek VL2 offers 226.6K more tokens in context window than Phi 4. Phi 4 is $4809.29 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K 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. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
1 days newer
Phi 4
Microsoft
2024-12-12
DeepSeek VL2
DeepSeek
2024-12-13
Cost per million tokens (USD)
DeepSeek VL2
Phi 4
Context window and performance specifications
Average performance across 27 common benchmarks
DeepSeek VL2
Phi 4
Phi 4
2024-06-01
Available providers and their performance metrics
DeepSeek VL2
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Phi 4
DeepSeek VL2
Phi 4
DeepSeek VL2
Phi 4
DeepInfra