DeepSeek VL2 Tiny vs Phi-3.5-mini-instruct
DeepSeek VL2 Tiny and Phi-3.5-mini-instruct are closely matched at -4.7 and -3.8 on the LLM Stats Score.
DeepSeek · Microsoft · Updated for 2026
Which is better?
DeepSeek VL2 Tiny and Phi-3.5-mini-instruct are closely matched on the overall LLM Stats Score at -4.7 and -3.8.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek VL2 Tiny
- you want the most recent training data — it shipped Dec 2024
Choose Phi-3.5-mini-instruct
- you want predictable pricing at $0.10/M input and $0.10/M output
At a glance
The differences that matter most.
Individual benchmarks
14 reported for DeepSeek VL2 Tiny · 31 for Phi-3.5-mini-instruct
DeepSeek VL2 Tiny and Phi-3.5-mini-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Phi-3.5-mini-instruct has 0.8B more parameters than DeepSeek VL2 Tiny, making it 26.7% larger.
Context Window
Maximum input and output token capacity
Only Phi-3.5-mini-instruct specifies input context (128,000 tokens). Only Phi-3.5-mini-instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
DeepSeek VL2 Tiny supports multimodal inputs, whereas Phi-3.5-mini-instruct does not.
DeepSeek VL2 Tiny can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek VL2 Tiny
Phi-3.5-mini-instruct
License
Usage and distribution terms
DeepSeek VL2 Tiny is licensed under deepseek, while Phi-3.5-mini-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 VL2 Tiny was released on 2024-12-13, while Phi-3.5-mini-instruct was released on 2024-08-23.
DeepSeek VL2 Tiny is 4 months newer than Phi-3.5-mini-instruct.
Dec 13, 2024
1.8 years ago
3mo newerAug 23, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek VL2 Tiny and Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek VL2 Tiny vs Phi-3.5-mini-instruct.