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DeepSeek-V2.5 vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Phi-4-multimodal-instruct offers 239.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, 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
DeepSeek-V2.5
DeepSeek
2024-05-08
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($0.27 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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DeepSeek-V2.5
Average Score:35.6%
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Phi-4-multimodal-instruct
Average Score:36.0%(+0.5%)
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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-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:35.6%
Providers:3
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Phi-4-multimodal-instruct
Avg Score:36.0%(+0.5%)
Providers:1