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Phi-3.5-vision-instruct vs Qwen3 VL 4B Instruct

Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Phi-3.5-vision-instruct outperforms in 0 benchmarks, while Qwen3 VL 4B Instruct is better at 1 benchmark (AI2D). Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.

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 Qwen3 VL 4B Instruct

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.10 / M
Output price
— / M
$0.60 / M
Context window
262,144
Released
Aug 2024
Sep 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Phi-3.5-vision-instruct outperforms in 0 benchmarks, while Qwen3 VL 4B Instruct is better at 1 benchmark (AI2D).

Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

200.0M diff

Phi-3.5-vision-instruct has 0.2B more parameters than Qwen3 VL 4B Instruct, making it 5.0% larger.

Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
4.0Bparameters
4.2B
Phi-3.5-vision-instruct
4.0B
Qwen3 VL 4B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 4B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 4B Instruct specifies output context (262,144 tokens).

Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Phi-3.5-vision-instruct and Qwen3 VL 4B Instruct support multimodal inputs.

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

Phi-3.5-vision-instruct

Text
Images
Audio
Video

Qwen3 VL 4B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-3.5-vision-instruct is licensed under MIT, while Qwen3 VL 4B 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

Qwen3 VL 4B 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 Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 13 months newer than Phi-3.5-vision-instruct.

Phi-3.5-vision-instruct

Aug 23, 2024

2.0 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

11 months ago

1.1yr 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 Qwen3 VL 4B Instruct side-by-side, then vote on the output you prefer.

Phi-3.5-vision-instruct
✓ Preferred
Qwen3 VL 4B Instruct
Open in Playground

FAQ

Common questions about Phi-3.5-vision-instruct vs Qwen3 VL 4B Instruct.

Which is better, Phi-3.5-vision-instruct or Qwen3 VL 4B Instruct?

Qwen3 VL 4B Instruct significantly outperforms across most benchmarks. Phi-3.5-vision-instruct is made by Microsoft and Qwen3 VL 4B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Phi-3.5-vision-instruct compare to Qwen3 VL 4B Instruct in benchmarks?

Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

What are the context window sizes for Phi-3.5-vision-instruct and Qwen3 VL 4B Instruct?

Phi-3.5-vision-instruct supports an unknown number of tokens and Qwen3 VL 4B Instruct supports 262K 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 Qwen3 VL 4B Instruct?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-3.5-vision-instruct and Qwen3 VL 4B Instruct?

Phi-3.5-vision-instruct is developed by Microsoft and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.