Model Comparison
GPT-5.6 Luna vs QwQ-32B-PreviewWhich is better in 2026?
GPT-5.6 Luna significantly outperforms across most benchmarks. QwQ-32B-Preview is 13.8x cheaper per token.
Verdict: GPT-5.6 Luna vs QwQ-32B-Preview — which is better?
GPT-5.6 Luna (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-5.6 Luna outperforms in 1 benchmarks (GPQA), while QwQ-32B-Preview is better at 0 benchmarks. GPT-5.6 Luna significantly outperforms across most benchmarks.
On price, QwQ-32B-Preview is roughly 13.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5.6 Luna if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Choose QwQ-32B-Preview if…
- cost matters — it's about 13.8x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.6 Luna outperforms in 1 benchmarks (GPQA), while QwQ-32B-Preview is better at 0 benchmarks.
GPT-5.6 Luna significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.6 Luna ($1.00/1M tokens) is 6.7x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, GPT-5.6 Luna ($6.00/1M tokens) is 30.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, GPT-5.6 Luna 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-5.6 Luna accepts 1,050,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. GPT-5.6 Luna can generate longer responses up to 128,000 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.6 Luna supports multimodal inputs, whereas QwQ-32B-Preview does not.
GPT-5.6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.6 Luna
QwQ-32B-Preview
License
Usage and distribution terms
GPT-5.6 Luna 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-5.6 Luna was released on 2026-07-09, while QwQ-32B-Preview was released on 2024-11-28.
GPT-5.6 Luna is 20 months newer than QwQ-32B-Preview.
Jul 9, 2026
1 weeks ago
1.6yr newerNov 28, 2024
1.6 years ago
Knowledge Cutoff
When training data ends
GPT-5.6 Luna has a knowledge cutoff of 2026-02-16, while QwQ-32B-Preview has a cutoff of 2024-11-28.
GPT-5.6 Luna has more recent training data (up to 2026-02-16), making it potentially better informed about events through that date compared to QwQ-32B-Preview (2024-11-28).
Feb 2026
1.3 yr newerNov 2024
Provider Availability
GPT-5.6 Luna is available from OpenAI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
GPT-5.6 Luna
QwQ-32B-Preview
Outputs Comparison
Key Takeaways
GPT-5.6 Luna
View detailsOpenAI
QwQ-32B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.6 Luna and QwQ-32B-Preview side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-5.6 Luna vs QwQ-32B-Preview.