Model Comparison

GPT-4.5 vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Qwen3 VL 32B Thinking has a slight edge in benchmark performance.

Verdict: GPT-4.5 vs Qwen3 VL 32B Thinking — which is better?

GPT-4.5 (by OpenAI) and Qwen3 VL 32B Thinking (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.

GPT-4.5 outperforms in 3 benchmarks (IFEval, MMLU, SimpleQA), while Qwen3 VL 32B Thinking is better at 4 benchmarks (CharXiv-D, CharXiv-R, GPQA, Multi-IF). Qwen3 VL 32B Thinking has a slight edge in benchmark performance.

Choose GPT-4.5 if…

  • you want predictable pricing at $75.00/M input and $150.00/M output

Choose Qwen3 VL 32B Thinking if…

  • you want the strongest raw capability — it leads on 4 of 7 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

GPT-4.5 outperforms in 3 benchmarks (IFEval, MMLU, SimpleQA), while Qwen3 VL 32B Thinking is better at 4 benchmarks (CharXiv-D, CharXiv-R, GPQA, Multi-IF).

Qwen3 VL 32B Thinking has a slight edge in benchmark performance.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4.5 specifies input context (128,000 tokens). Only GPT-4.5 specifies output context (4,096 tokens).

OpenAI
GPT-4.5
Input128,000 tokens
Output4,096 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4.5 and Qwen3 VL 32B Thinking support multimodal inputs.

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

GPT-4.5

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.5 is licensed under a proprietary license, while Qwen3 VL 32B Thinking uses Apache 2.0.

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

GPT-4.5

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.5 was released on 2025-02-27, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 7 months newer than GPT-4.5.

GPT-4.5

Feb 27, 2025

1.3 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

9 months ago

6mo 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

OpenAI
Larger context window (128,000 tokens)
Higher IFEval score (88.2% vs 87.8%)
Higher MMLU score (90.8% vs 88.7%)
Higher SimpleQA score (62.5% vs 55.4%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher CharXiv-D score (90.2% vs 90.0%)
Higher CharXiv-R score (65.2% vs 55.4%)
Higher GPQA score (73.1% vs 69.5%)
Higher Multi-IF score (78.0% vs 70.8%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-4.5 and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

GPT-4.5
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-4.5
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking

FAQ

Common questions about GPT-4.5 vs Qwen3 VL 32B Thinking.

Which is better, GPT-4.5 or Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking has a slight edge in benchmark performance. GPT-4.5 is made by OpenAI and Qwen3 VL 32B Thinking 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 GPT-4.5 compare to Qwen3 VL 32B Thinking in benchmarks?

GPT-4.5 scores GSM8k: 97.0%, MMLU: 90.8%, CharXiv-D: 90.0%, IFEval: 88.2%, HumanEval: 88.0%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for GPT-4.5 and Qwen3 VL 32B Thinking?

GPT-4.5 supports 128K tokens and Qwen3 VL 32B Thinking 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 GPT-4.5 and Qwen3 VL 32B Thinking?

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

Who makes GPT-4.5 and Qwen3 VL 32B Thinking?

GPT-4.5 is developed by OpenAI and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

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