Model Comparison

o1-mini vs QvQ-72B-Preview

Comparing o1-mini and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

o1-mini and QvQ-72B-Preview don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

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).

OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

QvQ-72B-Preview supports multimodal inputs, whereas o1-mini does not.

QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.

o1-mini

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

o1-mini is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.

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

o1-mini

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

o1-mini was released on 2024-09-12, while QvQ-72B-Preview was released on 2024-12-25.

QvQ-72B-Preview is 3 months newer than o1-mini.

o1-mini

Sep 12, 2024

1.6 years ago

QvQ-72B-Preview

Dec 25, 2024

1.3 years ago

3mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o1-mini
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about o1-mini vs QvQ-72B-Preview

o1-mini (OpenAI) and QvQ-72B-Preview (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.
o1-mini supports 128K tokens and QvQ-72B-Preview supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.
o1-mini is developed by OpenAI and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.