Model Comparison

Phi-3.5-vision-instruct vs Qwen2.5 72B InstructWhich is better in 2026?

Comparing Phi-3.5-vision-instruct and Qwen2.5 72B Instruct across benchmarks, pricing, and capabilities.

Verdict: Phi-3.5-vision-instruct vs Qwen2.5 72B Instruct — which is better?

Phi-3.5-vision-instruct (by Microsoft) and Qwen2.5 72B Instruct (by Alibaba Cloud / Qwen Team) 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.

Choose Phi-3.5-vision-instruct if…

  • you are already invested in the Microsoft ecosystem

Choose Qwen2.5 72B Instruct if…

  • you want the most recent training data — it shipped Sep 2024

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Phi-3.5-vision-instruct and Qwen2.5 72B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

68.5B diff

Qwen2.5 72B Instruct has 68.5B more parameters than Phi-3.5-vision-instruct, making it 1631.0% larger.

Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
4.2B
Phi-3.5-vision-instruct
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-3.5-vision-instruct supports multimodal inputs, whereas Qwen2.5 72B Instruct does not.

Phi-3.5-vision-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Phi-3.5-vision-instruct

Text
Images
Audio
Video

Qwen2.5 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-3.5-vision-instruct is licensed under MIT, while Qwen2.5 72B Instruct uses Qwen.

License differences may affect how you can use these models in commercial or open-source projects.

Phi-3.5-vision-instruct

MIT

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Phi-3.5-vision-instruct was released on 2024-08-23, while Qwen2.5 72B Instruct was released on 2024-09-19.

Qwen2.5 72B Instruct is 1 month newer than Phi-3.5-vision-instruct.

Phi-3.5-vision-instruct

Aug 23, 2024

1.9 years ago

Qwen2.5 72B Instruct

Sep 19, 2024

1.8 years ago

3w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Phi-3.5-vision-instruct and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.

Phi-3.5-vision-instruct
✓ Preferred
Qwen2.5 72B Instruct
Open in Playground
AI Model Comparison Table
Feature
Microsoft
Phi-3.5-vision-instruct
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct

FAQ

Common questions about Phi-3.5-vision-instruct vs Qwen2.5 72B Instruct.

Which is better, Phi-3.5-vision-instruct or Qwen2.5 72B Instruct?

Phi-3.5-vision-instruct (Microsoft) and Qwen2.5 72B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Phi-3.5-vision-instruct compare to Qwen2.5 72B Instruct in benchmarks?

Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

What are the context window sizes for Phi-3.5-vision-instruct and Qwen2.5 72B Instruct?

Phi-3.5-vision-instruct supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Phi-3.5-vision-instruct and Qwen2.5 72B Instruct?

Key differences include multimodal support (yes vs no), licensing (MIT vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-3.5-vision-instruct and Qwen2.5 72B Instruct?

Phi-3.5-vision-instruct is developed by Microsoft and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.