Gemma 3 27B vs Phi-3.5-vision-instruct
Gemma 3 27B leads the LLM Stats Score 8.3 to -3.4.
Google · Microsoft · Updated for 2026
Which is better?
Gemma 3 27B leads the overall LLM Stats Score 8.3 to -3.4, ranking #280 overall.
In the 3 individual benchmarks reported for both models, Phi-3.5-vision-instruct wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemma 3 27B
- overall performance matters — it scores 8.3 and ranks #280 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Mar 2025
Choose Phi-3.5-vision-instruct
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
27 reported for Gemma 3 27B · 9 for Phi-3.5-vision-instruct
Gemma 3 27B outperforms in 1 benchmarks (AI2D), while Phi-3.5-vision-instruct is better at 2 benchmarks (ChartQA, TextVQA).
Phi-3.5-vision-instruct shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Gemma 3 27B has 22.8B more parameters than Phi-3.5-vision-instruct, making it 542.9% larger.
Context Window
Maximum input and output token capacity
Only Gemma 3 27B specifies input context (131,072 tokens). Only Gemma 3 27B specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both Gemma 3 27B and Phi-3.5-vision-instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 27B
Phi-3.5-vision-instruct
License
Usage and distribution terms
Gemma 3 27B is licensed under Gemma, while Phi-3.5-vision-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Gemma 3 27B was released on 2025-03-12, while Phi-3.5-vision-instruct was released on 2024-08-23.
Gemma 3 27B is 7 months newer than Phi-3.5-vision-instruct.
Mar 12, 2025
1.5 years ago
6mo 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 Gemma 3 27B and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 27B vs Phi-3.5-vision-instruct.