DeepSeek-V2.5 vs Phi-3.5-MoE-instruct
Comparing DeepSeek-V2.5 by DeepSeek and Phi-3.5-MoE-instruct by Microsoft across benchmarks, pricing, and capabilities.
DeepSeek-V2.5 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V2.5 outperforms in 5 benchmarks (Arena Hard, GSM8k, HumanEval, MATH, MMLU), while Phi-3.5-MoE-instruct is better at 0 benchmarks.
DeepSeek-V2.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
DeepSeek-V2.5 has 176.0B more parameters than Phi-3.5-MoE-instruct, making it 293.3% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, while Phi-3.5-MoE-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while Phi-3.5-MoE-instruct was released on 2024-08-23.
Phi-3.5-MoE-instruct is 4 months newer than DeepSeek-V2.5.
May 8, 2024
1.9 years ago
Aug 23, 2024
1.6 years ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
DeepSeek-V2.5
View detailsDeepSeek
Phi-3.5-MoE-instruct
View detailsMicrosoft
Detailed Comparison
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