Model Comparison

Llama 3.2 11B Instruct vs Phi-3.5-vision-instructWhich is better in 2026?

Llama 3.2 11B Instruct significantly outperforms across most benchmarks.

Verdict: Llama 3.2 11B Instruct vs Phi-3.5-vision-instruct — which is better?

Llama 3.2 11B Instruct (by Meta) and Phi-3.5-vision-instruct (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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.

Choose Llama 3.2 11B Instruct if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you want the most recent training data — it shipped Sep 2024

Choose Phi-3.5-vision-instruct if…

  • you are already invested in the Microsoft ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

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.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

6.4B diff

Llama 3.2 11B Instruct has 6.4B more parameters than Phi-3.5-vision-instruct, making it 152.4% larger.

Meta
Llama 3.2 11B Instruct
10.6Bparameters
Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
10.6B
Llama 3.2 11B Instruct
4.2B
Phi-3.5-vision-instruct

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).

Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

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 11B Instruct

Llama 3.2 Community License

Open weights

Phi-3.5-vision-instruct

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.

Llama 3.2 11B Instruct

Sep 25, 2024

1.8 years ago

1mo newer
Phi-3.5-vision-instruct

Aug 23, 2024

1.9 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.

Llama 3.2 11B Instruct

Dec 2023

Phi-3.5-vision-instruct

—

Outputs Comparison

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Key Takeaways

Meta
Larger context window (128,000 tokens)
Higher AI2D score (91.1% vs 78.1%)
Higher ChartQA score (83.4% vs 81.8%)
Higher MathVista score (51.5% vs 43.9%)
Higher MMMU score (50.7% vs 43.0%)
Microsoft

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

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.

Llama 3.2 11B Instruct
✓ Preferred
Phi-3.5-vision-instruct
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.2 11B Instruct
Microsoft
Phi-3.5-vision-instruct

FAQ

Common questions about Llama 3.2 11B Instruct vs Phi-3.5-vision-instruct.

Which is better, Llama 3.2 11B Instruct or Phi-3.5-vision-instruct?

Llama 3.2 11B Instruct significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is made by Meta and Phi-3.5-vision-instruct is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 3.2 11B Instruct compare to Phi-3.5-vision-instruct in benchmarks?

Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%. Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%.

What are the context window sizes for Llama 3.2 11B Instruct and Phi-3.5-vision-instruct?

Llama 3.2 11B Instruct supports 128K tokens and Phi-3.5-vision-instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.2 11B Instruct and Phi-3.5-vision-instruct?

Key differences include licensing (Llama 3.2 Community License vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.2 11B Instruct and Phi-3.5-vision-instruct?

Llama 3.2 11B Instruct is developed by Meta and Phi-3.5-vision-instruct is developed by Microsoft.

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