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DeepSeek-V3.2-Exp vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 5.3% higher average benchmark score. Phi-4-multimodal-instruct offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. Phi-4-multimodal-instruct is $0.53 cheaper per million tokens. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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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.
8 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($0.53 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:31.9%
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Phi-4-multimodal-instruct
Average Score:37.3%(+5.3%)
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Phi-4-multimodal-instruct
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DeepSeek-V3.2-Exp
Avg Score:31.9%
Providers:2
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Phi-4-multimodal-instruct
Avg Score:37.3%(+5.3%)
Providers:1