Model Comparison

Phi-3.5-mini-instruct vs Qwen3 VL 32B InstructWhich is better in 2026?

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Verdict: Phi-3.5-mini-instruct vs Qwen3 VL 32B Instruct — which is better?

Phi-3.5-mini-instruct (by Microsoft) and Qwen3 VL 32B 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.

Phi-3.5-mini-instruct outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro). Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Choose Phi-3.5-mini-instruct if…

  • you want predictable pricing at $0.10/M input and $0.10/M output

Choose Qwen3 VL 32B Instruct if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Phi-3.5-mini-instruct outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

29.2B diff

Qwen3 VL 32B Instruct has 29.2B more parameters than Phi-3.5-mini-instruct, making it 768.4% larger.

Microsoft
Phi-3.5-mini-instruct
3.8Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
3.8B
Phi-3.5-mini-instruct
33.0B
Qwen3 VL 32B Instruct

Context Window

Maximum input and output token capacity

Only Phi-3.5-mini-instruct specifies input context (128,000 tokens). Only Phi-3.5-mini-instruct specifies output context (128,000 tokens).

Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Instruct supports multimodal inputs, whereas Phi-3.5-mini-instruct does not.

Qwen3 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Phi-3.5-mini-instruct

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-3.5-mini-instruct is licensed under MIT, while Qwen3 VL 32B Instruct uses Apache 2.0.

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

Phi-3.5-mini-instruct

MIT

Open weights

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-3.5-mini-instruct was released on 2024-08-23, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 13 months newer than Phi-3.5-mini-instruct.

Phi-3.5-mini-instruct

Aug 23, 2024

1.8 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

9 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→

Key Takeaways

Microsoft
Larger context window (128,000 tokens)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher GPQA score (68.9% vs 30.4%)
Higher MMLU score (86.4% vs 69.0%)
Higher MMLU-Pro score (78.6% vs 47.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Phi-3.5-mini-instruct and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

Phi-3.5-mini-instruct
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground
AI Model Comparison Table
Feature
Microsoft
Phi-3.5-mini-instruct
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about Phi-3.5-mini-instruct vs Qwen3 VL 32B Instruct.

Which is better, Phi-3.5-mini-instruct or Qwen3 VL 32B Instruct?

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks. Phi-3.5-mini-instruct is made by Microsoft and Qwen3 VL 32B 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-mini-instruct compare to Qwen3 VL 32B Instruct in benchmarks?

Phi-3.5-mini-instruct scores GSM8k: 86.2%, ARC-C: 84.6%, RULER: 84.1%, PIQA: 81.0%, OpenBookQA: 79.2%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for Phi-3.5-mini-instruct and Qwen3 VL 32B Instruct?

Phi-3.5-mini-instruct supports 128K tokens and Qwen3 VL 32B 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 Phi-3.5-mini-instruct and Qwen3 VL 32B Instruct?

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

Who makes Phi-3.5-mini-instruct and Qwen3 VL 32B Instruct?

Phi-3.5-mini-instruct is developed by Microsoft and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

Related comparisons