o1-mini vs Qwen3 VL 32B Instruct
Qwen3 VL 32B Instruct leads the LLM Stats Score 20.3 to 10.0.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 32B Instruct leads the overall LLM Stats Score 20.3 to 10.0, ranking #198 overall.
In the 2 individual benchmarks reported for both models, Qwen3 VL 32B Instruct wins 2; 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-mini
- you want predictable pricing at $3.00/M input and $12.00/M output
Choose Qwen3 VL 32B Instruct
- overall performance matters — it scores 20.3 and ranks #198 on LLM Stats
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- 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 o1-mini · 45 for Qwen3 VL 32B Instruct
o1-mini outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 2 benchmarks (GPQA, MMLU).
Qwen3 VL 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 o1-mini specifies input context (128,000 tokens). Only o1-mini specifies output context (65,536 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3 VL 32B Instruct supports multimodal inputs, whereas o1-mini does not.
Qwen3 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
o1-mini
Qwen3 VL 32B Instruct
License
Usage and distribution terms
o1-mini 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
o1-mini was released on 2024-09-12, while Qwen3 VL 32B Instruct was released on 2025-09-22.
Qwen3 VL 32B Instruct is 13 months newer than o1-mini.
Sep 12, 2024
2.0 years ago
Sep 22, 2025
1.0 years ago
1.0yr 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-mini and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about o1-mini vs Qwen3 VL 32B Instruct.