Model Comparison

o1-mini vs QwQ-32B

QwQ-32B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

o1-mini outperforms in 0 benchmarks, while QwQ-32B is better at 2 benchmarks (GPQA, MATH-500).

QwQ-32B significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
QwQ-32B
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
QwQ-32B
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

o1-mini is licensed under a proprietary license, while QwQ-32B uses Apache 2.0.

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

o1-mini

Proprietary

Closed source

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

o1-mini was released on 2024-09-12, while QwQ-32B was released on 2025-03-05.

QwQ-32B is 6 months newer than o1-mini.

o1-mini

Sep 12, 2024

1.6 years ago

QwQ-32B

Mar 5, 2025

1.1 years ago

5mo newer

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while o1-mini's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without o1-mini's cutoff date.

o1-mini

—

QwQ-32B

Nov 2024

Outputs Comparison

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Key Takeaways

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

QwQ-32B

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher GPQA score (65.2% vs 60.0%)
Higher MATH-500 score (90.6% vs 90.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o1-mini
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about o1-mini vs QwQ-32B

QwQ-32B significantly outperforms across most benchmarks. o1-mini is made by OpenAI and QwQ-32B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.
o1-mini supports 128K tokens and QwQ-32B 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 licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
o1-mini is developed by OpenAI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.