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o3-mini vs Qwen3 VL 32B Thinking

o3-mini and Qwen3 VL 32B Thinking are closely matched at 21.5 and 23.6 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

o3-mini and Qwen3 VL 32B Thinking are closely matched on the overall LLM Stats Score at 21.5 and 23.6.

In the 5 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

  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results

Choose Qwen3 VL 32B Thinking

  • 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.

Core performance indexes
21.5
#187
23.6
#174
20.6
#186
24.7
#154
Cost, coverage & limits
Benchmark wins
3 of 5
2 of 5
Input price
$1.10 / M
— / M
Output price
$4.40 / M
— / M
Context window
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
o3-mini
Qwen3 VL 32B Thinking
29.3#86
25.4#111
8.3#82
16.5#37
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

25 reported for o3-mini · 47 for Qwen3 VL 32B Thinking

5 shared

o3-mini outperforms in 3 benchmarks (GPQA, IFEval, Multi-IF), while Qwen3 VL 32B Thinking is better at 2 benchmarks (MMLU, SimpleQA).

o3-mini has a slight edge in benchmark performance.

Mon Sep 21 2026 • llm-stats.com

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).

OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 32B Thinking supports multimodal inputs, whereas o3-mini does not.

Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

o3-mini

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

o3-mini is licensed under a proprietary license, while Qwen3 VL 32B Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

o3-mini

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

o3-mini was released on 2025-01-30, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 8 months newer than o3-mini.

o3-mini

Jan 30, 2025

1.6 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

12 months ago

7mo newer

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while Qwen3 VL 32B Thinking'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 Qwen3 VL 32B Thinking's cutoff date.

o3-mini

Sep 2023

Qwen3 VL 32B Thinking

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against o3-mini and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

o3-mini
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground

FAQ

Common questions about o3-mini vs Qwen3 VL 32B Thinking.

Which is better, o3-mini or Qwen3 VL 32B Thinking?

o3-mini and Qwen3 VL 32B Thinking are closely matched on the LLM Stats Score at 21.5 and 23.6. o3-mini is made by OpenAI and Qwen3 VL 32B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does o3-mini compare to Qwen3 VL 32B Thinking in benchmarks?

o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for o3-mini and Qwen3 VL 32B Thinking?

o3-mini supports 200K tokens and Qwen3 VL 32B Thinking supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between o3-mini and Qwen3 VL 32B Thinking?

Key differences include LLM Stats Score (21.5 vs 23.6), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes o3-mini and Qwen3 VL 32B Thinking?

o3-mini is developed by OpenAI and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.