GPT-4 Turbo vs Qwen3 VL 32B Instruct
Qwen3 VL 32B Instruct leads the LLM Stats Score 20.3 to 9.0.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 32B Instruct leads the overall LLM Stats Score 20.3 to 9.0, ranking #203 overall.
The models split the 2 individual benchmarks reported for both models evenly.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4 Turbo
- you want predictable pricing at $10.00/M input and $30.00/M output
Choose Qwen3 VL 32B Instruct
- overall performance matters — it scores 20.3 and ranks #203 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for GPT-4 Turbo · 45 for Qwen3 VL 32B Instruct
GPT-4 Turbo outperforms in 1 benchmarks (MMLU), while Qwen3 VL 32B Instruct is better at 1 benchmark (GPQA).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only GPT-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3 VL 32B Instruct supports multimodal inputs, whereas GPT-4 Turbo does not.
Qwen3 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4 Turbo
Qwen3 VL 32B Instruct
License
Usage and distribution terms
GPT-4 Turbo 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-4 Turbo was released on 2024-04-09, while Qwen3 VL 32B Instruct was released on 2025-09-22.
Qwen3 VL 32B Instruct is 18 months newer than GPT-4 Turbo.
Apr 9, 2024
2.5 years ago
Sep 22, 2025
1.0 years ago
1.5yr newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Qwen3 VL 32B Instruct's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3 VL 32B Instruct's cutoff date.
Dec 2023
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Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 Turbo and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 Turbo vs Qwen3 VL 32B Instruct.