Model Comparison
GPT-4 Turbo vs QwQ-32B-PreviewWhich is better in 2026?
QwQ-32B-Preview significantly outperforms across most benchmarks. QwQ-32B-Preview is 92.3x cheaper per token.
Verdict: GPT-4 Turbo vs QwQ-32B-Preview — which is better?
GPT-4 Turbo (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-4 Turbo 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 92.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4 Turbo also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4 Turbo 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 92.3x 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-4 Turbo 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-4 Turbo ($10.00/1M tokens) is 66.7x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 150.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, GPT-4 Turbo 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-4 Turbo 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-4 Turbo is limited to 4,096 tokens.
License
Usage and distribution terms
GPT-4 Turbo 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-4 Turbo was released on 2024-04-09, while QwQ-32B-Preview was released on 2024-11-28.
QwQ-32B-Preview is 8 months newer than GPT-4 Turbo.
Apr 9, 2024
2.2 years ago
Nov 28, 2024
1.5 years ago
7mo newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a knowledge cutoff of 2023-12-31, 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-4 Turbo (2023-12-31).
Dec 2023
Nov 2024
11 mo newerProvider Availability
GPT-4 Turbo is available from Azure, OpenAI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
GPT-4 Turbo
QwQ-32B-Preview
Outputs Comparison
Key Takeaways
GPT-4 Turbo
View detailsOpenAI
QwQ-32B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-4 Turbo vs QwQ-32B-Preview.