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GPT-4.5 vs Qwen3 VL 32B Thinking

GPT-4.5 and Qwen3 VL 32B Thinking are closely matched at 20.5 and 23.9 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4.5 and Qwen3 VL 32B Thinking are closely matched on the overall LLM Stats Score at 20.5 and 23.9.

In the 7 individual benchmarks reported for both models, Qwen3 VL 32B Thinking wins 4; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-4.5

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

Choose Qwen3 VL 32B Thinking

  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 7 exact shared results
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-4.5
OpenAI
Qwen3 VL 32B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
20.5
#179
23.9
#156
Reasoning
20.7
#170
25.0
#138
Cost, coverage & limits
Benchmark wins
3 of 7
4 of 7
Input price
$75.00 / M
— / M
Output price
$150.00 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
GPT-4.5
Qwen3 VL 32B Thinking
Math
20.7#142
25.6#98
Vision
13.3#88
17.7#75
Writing
11.2#63
15.8#36
Multimodal
17.1#69
20.1#62
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

26 reported for GPT-4.5 · 47 for Qwen3 VL 32B Thinking

7 shared

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.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

1.5 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

11 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→

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

FAQ

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

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

GPT-4.5 and Qwen3 VL 32B Thinking are closely matched on the LLM Stats Score at 20.5 and 23.9. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (20.5 vs 23.9), 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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