o1 vs Qwen2.5 VL 32B Instruct
o1 leads the LLM Stats Score 20.9 to 9.7.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
o1 leads the overall LLM Stats Score 20.9 to 9.7, ranking #191 overall.
In the 5 individual benchmarks reported for both models, o1 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 o1
- overall performance matters — it scores 20.9 and ranks #191 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 5 exact shared results
Choose Qwen2.5 VL 32B Instruct
- 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
19 reported for o1 · 28 for Qwen2.5 VL 32B Instruct
o1 outperforms in 4 benchmarks (GPQA, MATH, MMLU, MMMU), while Qwen2.5 VL 32B Instruct is better at 1 benchmark (HumanEval).
o1 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 o1 specifies input context (200,000 tokens). Only o1 specifies output context (100,000 tokens).
Input capabilities
Documented input modalities across available providers
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas o1 does not.
Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
o1
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
o1 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
o1 was released on 2024-12-17, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Qwen2.5 VL 32B Instruct is 2 months newer than o1.
Dec 17, 2024
1.8 years ago
Feb 28, 2025
1.6 years ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against o1 and Qwen2.5 VL 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about o1 vs Qwen2.5 VL 32B Instruct.