Model Comparison

Grok-3 vs Phi-3.5-vision-instruct

Grok-3 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Grok-3 outperforms in 1 benchmarks (MMMU), while Phi-3.5-vision-instruct is better at 0 benchmarks.

Grok-3 significantly outperforms across most benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Grok-3 specifies input context (128,000 tokens). Only Grok-3 specifies output context (8,000 tokens).

xAI
Grok-3
Input128,000 tokens
Output8,000 tokens
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Grok-3 and Phi-3.5-vision-instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Grok-3

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-3 is licensed under a proprietary 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.

Grok-3

Proprietary

Closed source

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

Grok-3 was released on 2025-02-17, while Phi-3.5-vision-instruct was released on 2024-08-23.

Grok-3 is 6 months newer than Phi-3.5-vision-instruct.

Grok-3

Feb 17, 2025

1.3 years ago

5mo newer
Phi-3.5-vision-instruct

Aug 23, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Grok-3 has a documented knowledge cutoff of 2024-11-17, while Phi-3.5-vision-instruct's cutoff date is not specified.

We can confirm Grok-3's training data extends to 2024-11-17, but cannot make a direct comparison without Phi-3.5-vision-instruct's cutoff date.

Grok-3

Nov 2024

Phi-3.5-vision-instruct

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Outputs Comparison

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Key Takeaways

xAI
Larger context window (128,000 tokens)
Higher MMMU score (78.0% vs 43.0%)
Microsoft
Has open weights
xAIGrok-3
MicrosoftPhi-3.5-vision-instruct
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
xAI
Grok-3
Microsoft
Phi-3.5-vision-instruct

FAQ

Common questions about Grok-3 vs Phi-3.5-vision-instruct.

Which is better, Grok-3 or Phi-3.5-vision-instruct?

Grok-3 significantly outperforms across most benchmarks. Grok-3 is made by xAI 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 Grok-3 compare to Phi-3.5-vision-instruct in benchmarks?

Grok-3 scores AIME 2024: 93.3%, AIME 2025: 93.3%, GPQA: 84.6%, LiveCodeBench: 79.4%, MMMU: 78.0%. 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 Grok-3 and Phi-3.5-vision-instruct?

Grok-3 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 Grok-3 and Phi-3.5-vision-instruct?

Key differences include licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-3 and Phi-3.5-vision-instruct?

Grok-3 is developed by xAI and Phi-3.5-vision-instruct is developed by Microsoft.