Model Comparison

o3-mini vs QwQ-32B-Preview

o3-mini significantly outperforms across most benchmarks. QwQ-32B-Preview is 11.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

o3-mini outperforms in 2 benchmarks (AIME 2024, GPQA), while QwQ-32B-Preview is better at 0 benchmarks.

o3-mini significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

For input processing, o3-mini ($1.10/1M tokens) is 7.3x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, o3-mini ($4.40/1M tokens) is 22.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, o3-mini is more expensive than QwQ-32B-Preview.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o3-mini accepts 200,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. o3-mini can generate longer responses up to 100,000 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

o3-mini is licensed under a proprietary license, while QwQ-32B-Preview 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

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

o3-mini was released on 2025-01-30, while QwQ-32B-Preview was released on 2024-11-28.

o3-mini is 2 months newer than QwQ-32B-Preview.

o3-mini

Jan 30, 2025

1.2 years ago

2mo newer
QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

o3-mini has a knowledge cutoff of 2023-09-30, while QwQ-32B-Preview has a cutoff of 2024-11-28.

QwQ-32B-Preview has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to o3-mini (2023-09-30).

o3-mini

Sep 2023

QwQ-32B-Preview

Nov 2024

1.2 yr newer

Provider Availability

o3-mini is available from Azure, OpenAI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

o3-mini

azure logo
Azure
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (200,000 tokens)
Higher AIME 2024 score (87.3% vs 50.0%)
Higher GPQA score (77.2% vs 65.2%)
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o3-mini
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about o3-mini vs QwQ-32B-Preview

o3-mini significantly outperforms across most benchmarks. o3-mini is made by OpenAI and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
QwQ-32B-Preview is 7.3x cheaper for input tokens. o3-mini costs $1.10/M input and $4.40/M output via azure. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.
o3-mini supports 200K tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 33K), input pricing ($1.10 vs $0.15/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
o3-mini is developed by OpenAI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.