o3-mini vs Qwen2.5 VL 32B Instruct
o3-mini leads the LLM Stats Score 21.5 to 9.7.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
o3-mini leads the overall LLM Stats Score 21.5 to 9.7, ranking #186 overall.
In the 3 individual benchmarks reported for both models, o3-mini wins 3; 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 o3-mini
- overall performance matters — it scores 21.5 and ranks #186 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
Choose Qwen2.5 VL 32B Instruct
- your work emphasizes coding — it leads those capability indexes
- you want the most recent training data — it shipped Feb 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
25 reported for o3-mini · 28 for Qwen2.5 VL 32B Instruct
o3-mini outperforms in 3 benchmarks (GPQA, MATH, MMLU), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.
o3-mini 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 o3-mini specifies input context (200,000 tokens). Only o3-mini specifies output context (100,000 tokens).
Input capabilities
Documented input modalities across available providers
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas o3-mini does not.
Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
o3-mini
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
o3-mini is licensed under a proprietary license, while Qwen2.5 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
o3-mini was released on 2025-01-30, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Qwen2.5 VL 32B Instruct is 1 month newer than o3-mini.
Jan 30, 2025
1.6 years ago
Feb 28, 2025
1.5 years ago
4w newerKnowledge Cutoff
When training data ends
o3-mini has a documented knowledge cutoff of 2023-09-30, while Qwen2.5 VL 32B Instruct's cutoff date is not specified.
We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without Qwen2.5 VL 32B Instruct's cutoff date.
Sep 2023
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Outputs Comparison
Judge for yourself.
Run your own prompts against o3-mini and Qwen2.5 VL 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about o3-mini vs Qwen2.5 VL 32B Instruct.