Model Comparison
GPT-4o vs QwQ-32B-PreviewWhich is better in 2026?
Both models are evenly matched across the benchmarks. QwQ-32B-Preview is 26.9x cheaper per token.
Verdict: GPT-4o vs QwQ-32B-Preview — which is better?
GPT-4o (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 outperforms in 1 benchmarks (GPQA), while QwQ-32B-Preview is better at 1 benchmark (AIME 2024). Both models are evenly matched across the benchmarks.
On price, QwQ-32B-Preview is roughly 26.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4o also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4o if…
- you process long inputs — it offers a 128,000 token context window
Choose QwQ-32B-Preview if…
- cost matters — it's about 26.9x 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 outperforms in 1 benchmarks (GPQA), while QwQ-32B-Preview is better at 1 benchmark (AIME 2024).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 16.7x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 50.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, GPT-4o 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 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 is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
GPT-4o supports multimodal inputs, whereas QwQ-32B-Preview does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
QwQ-32B-Preview
License
Usage and distribution terms
GPT-4o 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 was released on 2024-08-06, while QwQ-32B-Preview was released on 2024-11-28.
QwQ-32B-Preview is 4 months newer than GPT-4o.
Aug 6, 2024
1.9 years ago
Nov 28, 2024
1.6 years ago
3mo newerKnowledge Cutoff
When training data ends
QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while GPT-4o's cutoff date is not specified.
We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without GPT-4o's cutoff date.
—
Nov 2024
Provider Availability
GPT-4o is available from Azure, OpenAI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
GPT-4o
QwQ-32B-Preview
Outputs Comparison
Key Takeaways
GPT-4o
View detailsOpenAI
QwQ-32B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-4o and QwQ-32B-Preview side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-4o vs QwQ-32B-Preview.