Model Comparison
GPT-4o mini vs QwQ-32B-PreviewWhich is better in 2026?
QwQ-32B-Preview significantly outperforms across most benchmarks. QwQ-32B-Preview is 1.6x cheaper per token.
Verdict: GPT-4o mini vs QwQ-32B-Preview — which is better?
GPT-4o mini (by OpenAI) and QwQ-32B-Preview (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-4o mini outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 1 benchmark (GPQA). QwQ-32B-Preview significantly outperforms across most benchmarks.
On price, QwQ-32B-Preview is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4o mini also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4o mini if…
- you process long inputs — it offers a 128,000 token context window
Choose QwQ-32B-Preview if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 1.6x cheaper per token
- you want the most recent training data — it shipped Nov 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o mini outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 1 benchmark (GPQA).
QwQ-32B-Preview significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o mini ($0.15/1M tokens) costs the same as QwQ-32B-Preview ($0.15/1M tokens).
For output processing, GPT-4o mini ($0.60/1M tokens) is 3.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, GPT-4o mini is more expensive than QwQ-32B-Preview.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4o mini accepts 128,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. QwQ-32B-Preview can generate longer responses up to 32,768 tokens, while GPT-4o mini is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
GPT-4o mini supports multimodal inputs, whereas QwQ-32B-Preview does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o mini
QwQ-32B-Preview
License
Usage and distribution terms
GPT-4o 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-4o mini was released on 2024-07-18, while QwQ-32B-Preview was released on 2024-11-28.
QwQ-32B-Preview is 4 months newer than GPT-4o mini.
Jul 18, 2024
1.9 years ago
Nov 28, 2024
1.6 years ago
4mo newerKnowledge Cutoff
When training data ends
GPT-4o mini has a knowledge cutoff of 2023-10-01, 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 GPT-4o mini (2023-10-01).
Oct 2023
Nov 2024
1.1 yr newerProvider Availability
GPT-4o mini is available from Azure. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
GPT-4o mini
QwQ-32B-Preview
Outputs Comparison
Key Takeaways
GPT-4o mini
View detailsOpenAI
QwQ-32B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-4o mini vs QwQ-32B-Preview.