Model Comparison

Phi-3.5-vision-instruct vs QwQ-32B-Preview

Comparing Phi-3.5-vision-instruct and QwQ-32B-Preview across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Phi-3.5-vision-instruct and QwQ-32B-Preview don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Microsoft
Phi-3.5-vision-instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

28.3B diff

QwQ-32B-Preview has 28.3B more parameters than Phi-3.5-vision-instruct, making it 673.8% larger.

Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
4.2B
Phi-3.5-vision-instruct
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Only QwQ-32B-Preview specifies input context (32,768 tokens). Only QwQ-32B-Preview specifies output context (32,768 tokens).

Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-3.5-vision-instruct supports multimodal inputs, whereas QwQ-32B-Preview 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

QwQ-32B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-3.5-vision-instruct is licensed under MIT, while QwQ-32B-Preview 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

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-3.5-vision-instruct was released on 2024-08-23, while QwQ-32B-Preview was released on 2024-11-28.

QwQ-32B-Preview is 3 months newer than Phi-3.5-vision-instruct.

Phi-3.5-vision-instruct

Aug 23, 2024

1.6 years ago

QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

3mo newer

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Phi-3.5-vision-instruct's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Phi-3.5-vision-instruct's cutoff date.

Phi-3.5-vision-instruct

—

QwQ-32B-Preview

Nov 2024

Outputs Comparison

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Key Takeaways

Microsoft
Supports multimodal inputs
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Larger context window (32,768 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi-3.5-vision-instruct
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about Phi-3.5-vision-instruct vs QwQ-32B-Preview

Phi-3.5-vision-instruct (Microsoft) and QwQ-32B-Preview (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.
Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
Phi-3.5-vision-instruct supports an unknown number of tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Phi-3.5-vision-instruct is developed by Microsoft and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.