The AI arena is free today

Open Superagent

Phi-3.5-vision-instruct vs Qwen2.5 7B Instruct

Comparing Phi-3.5-vision-instruct and Qwen2.5 7B Instruct across benchmarks, pricing, and capabilities.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Phi-3.5-vision-instruct and Qwen2.5 7B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Phi-3.5-vision-instruct

  • you are already invested in the Microsoft ecosystem

Choose Qwen2.5 7B Instruct

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

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
$0.30 / M
Output price
— / M
$0.30 / M
Context window
131,072
Released
Aug 2024
Sep 2024
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Phi-3.5-vision-instruct and Qwen2.5 7B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

3.4B diff

Qwen2.5 7B Instruct has 3.4B more parameters than Phi-3.5-vision-instruct, making it 81.2% larger.

Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
4.2B
Phi-3.5-vision-instruct
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-3.5-vision-instruct supports multimodal inputs, whereas Qwen2.5 7B 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 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-3.5-vision-instruct is licensed under MIT, while Qwen2.5 7B Instruct uses Apache 2.0.

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 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-3.5-vision-instruct was released on 2024-08-23, while Qwen2.5 7B Instruct was released on 2024-09-19.

Qwen2.5 7B Instruct is 1 month newer than Phi-3.5-vision-instruct.

Phi-3.5-vision-instruct

Aug 23, 2024

2.0 years ago

Qwen2.5 7B Instruct

Sep 19, 2024

1.9 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

Judge for yourself.

Run your own prompts against Phi-3.5-vision-instruct and Qwen2.5 7B Instruct side-by-side, then vote on the output you prefer.

Phi-3.5-vision-instruct
✓ Preferred
Qwen2.5 7B Instruct
Open in Playground

FAQ

Common questions about Phi-3.5-vision-instruct vs Qwen2.5 7B Instruct.

Which is better, Phi-3.5-vision-instruct or Qwen2.5 7B Instruct?

Phi-3.5-vision-instruct (Microsoft) and Qwen2.5 7B 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 7B 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 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

What are the context window sizes for Phi-3.5-vision-instruct and Qwen2.5 7B Instruct?

Phi-3.5-vision-instruct supports an unknown number of tokens and Qwen2.5 7B 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 7B Instruct?

Key differences include multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-3.5-vision-instruct and Qwen2.5 7B Instruct?

Phi-3.5-vision-instruct is developed by Microsoft and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.