DeepSeek-R1 vs Phi-3.5-vision-instruct
Comparing DeepSeek-R1 and Phi-3.5-vision-instruct across benchmarks, pricing, and capabilities.
DeepSeek · Microsoft · Updated for 2026
Which is better?
DeepSeek-R1 and Phi-3.5-vision-instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-R1
- you want the most recent training data — it shipped Jan 2025
Choose Phi-3.5-vision-instruct
- you are already invested in the Microsoft ecosystem
At a glance
The differences that matter most.
Individual benchmarks
0 reported for DeepSeek-R1 · 9 for Phi-3.5-vision-instruct
DeepSeek-R1 and Phi-3.5-vision-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
DeepSeek-R1 has 666.8B more parameters than Phi-3.5-vision-instruct, making it 15876.2% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Phi-3.5-vision-instruct supports multimodal inputs, whereas DeepSeek-R1 does not.
Phi-3.5-vision-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-R1
Phi-3.5-vision-instruct
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-R1 was released on 2025-01-20, while Phi-3.5-vision-instruct was released on 2024-08-23.
DeepSeek-R1 is 5 months newer than Phi-3.5-vision-instruct.
Jan 20, 2025
1.6 years ago
5mo newerAug 23, 2024
2.0 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-R1 and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1 vs Phi-3.5-vision-instruct.