GPT-4o mini vs Qwen2.5 32B Instruct
GPT-4o mini and Qwen2.5 32B Instruct are closely matched at 3.6 and 7.7 on the LLM Stats Score.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-4o mini and Qwen2.5 32B Instruct are closely matched on the overall LLM Stats Score at 3.6 and 7.7.
In the 4 individual benchmarks reported for both models, Qwen2.5 32B Instruct 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-4o mini
- you want predictable pricing at $0.15/M input and $0.60/M output
Choose Qwen2.5 32B Instruct
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you want the most recent training data — it shipped Sep 2024
- 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
9 reported for GPT-4o mini · 18 for Qwen2.5 32B Instruct
GPT-4o mini outperforms in 0 benchmarks, while Qwen2.5 32B Instruct is better at 4 benchmarks (GPQA, HumanEval, MATH, MMLU).
Qwen2.5 32B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).
Input capabilities
Documented input modalities across available providers
GPT-4o mini supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o mini
Qwen2.5 32B Instruct
License
Usage and distribution terms
GPT-4o mini is licensed under a proprietary license, while Qwen2.5 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-4o mini was released on 2024-07-18, while Qwen2.5 32B Instruct was released on 2024-09-19.
Qwen2.5 32B Instruct is 2 months newer than GPT-4o mini.
Jul 18, 2024
2.1 years ago
Sep 19, 2024
2.0 years ago
2mo newerKnowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Qwen2.5 32B Instruct's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen2.5 32B Instruct's cutoff date.
Oct 2023
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Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o mini and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o mini vs Qwen2.5 32B Instruct.