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GPT-4.5 vs Qwen3 VL 32B Instruct

GPT-4.5 and Qwen3 VL 32B Instruct are closely matched at 20.5 and 20.7 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-4.5 and Qwen3 VL 32B Instruct are closely matched on the overall LLM Stats Score at 20.5 and 20.7.

The models split the 6 individual benchmarks reported for both models evenly.

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 Instruct

  • 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 Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
20.5
#179
20.7
#177
Reasoning
20.7
#170
19.6
#182
Cost, coverage & limits
Benchmark wins
3 of 6
3 of 6
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 Instruct
Math
20.7#142
19.8#152
Vision
13.3#88
15.8#80
Writing
11.2#63
10.8#65
Multimodal
17.1#69
18.2#66
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

26 reported for GPT-4.5 · 45 for Qwen3 VL 32B Instruct

6 shared

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

Both models are evenly matched across the benchmarks.

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 Instruct
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 Instruct 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 Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.5 is licensed under a proprietary license, 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.

GPT-4.5

Proprietary

Closed source

Qwen3 VL 32B Instruct

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 Instruct was released on 2025-09-22.

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

GPT-4.5

Feb 27, 2025

1.5 years ago

Qwen3 VL 32B Instruct

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 Instruct side-by-side, then vote on the output you prefer.

GPT-4.5
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground

FAQ

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

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

GPT-4.5 and Qwen3 VL 32B Instruct are closely matched on the LLM Stats Score at 20.5 and 20.7. GPT-4.5 is made by OpenAI and Qwen3 VL 32B Instruct 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 Instruct 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 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 GPT-4.5 and Qwen3 VL 32B Instruct?

GPT-4.5 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 GPT-4.5 and Qwen3 VL 32B Instruct?

Key differences include LLM Stats Score (20.5 vs 20.7), 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 Instruct?

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

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