Llama 3.2 11B Instruct vs Phi-3.5-vision-instruct
Llama 3.2 11B Instruct and Phi-3.5-vision-instruct are closely matched at -1.3 and -3.4 on the LLM Stats Score.
Meta · Microsoft · Updated for 2026
Which is better?
Llama 3.2 11B Instruct and Phi-3.5-vision-instruct are closely matched on the overall LLM Stats Score at -1.3 and -3.4.
In the 4 individual benchmarks reported for both models, Llama 3.2 11B Instruct wins 4; 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 Llama 3.2 11B Instruct
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you want the most recent training data — it shipped Sep 2024
Choose Phi-3.5-vision-instruct
- you are already invested in the Microsoft ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Llama 3.2 11B Instruct · 9 for Phi-3.5-vision-instruct
Llama 3.2 11B Instruct outperforms in 4 benchmarks (AI2D, ChartQA, MathVista, MMMU), while Phi-3.5-vision-instruct is better at 0 benchmarks.
Llama 3.2 11B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Llama 3.2 11B Instruct has 6.4B more parameters than Phi-3.5-vision-instruct, making it 152.4% larger.
Context Window
Maximum input and output token capacity
Only Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Llama 3.2 11B Instruct and Phi-3.5-vision-instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Llama 3.2 11B Instruct
Phi-3.5-vision-instruct
License
Usage and distribution terms
Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, while Phi-3.5-vision-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.2 Community License
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Llama 3.2 11B Instruct was released on 2024-09-25, while Phi-3.5-vision-instruct was released on 2024-08-23.
Llama 3.2 11B Instruct is 1 month newer than Phi-3.5-vision-instruct.
Sep 25, 2024
2.0 years ago
1mo newerAug 23, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Phi-3.5-vision-instruct's cutoff date is not specified.
We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Phi-3.5-vision-instruct's cutoff date.
Dec 2023
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Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.2 11B Instruct and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.2 11B Instruct vs Phi-3.5-vision-instruct.