Model Comparison
Qwen3.7 Max vs GPT-5.6 LunaWhich is better in 2026?
GPT-5.6 Luna shows notably better performance in the majority of benchmarks. Qwen3.7 Max is 1.2x cheaper per token.
Verdict: Qwen3.7 Max vs GPT-5.6 Luna — which is better?
Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and GPT-5.6 Luna (by OpenAI) 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.
Qwen3.7 Max outperforms in 1 benchmarks (GPQA), while GPT-5.6 Luna is better at 2 benchmarks (GDPval-AA, SWE-Bench Pro). GPT-5.6 Luna shows notably better performance in the majority of benchmarks.
On price, Qwen3.7 Max is roughly 1.2x 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 Qwen3.7 Max if…
- cost matters — it's about 1.2x cheaper per token
Choose GPT-5.6 Luna if…
- you want the strongest raw capability — it leads on 2 of 3 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
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.7 Max outperforms in 1 benchmarks (GPQA), while GPT-5.6 Luna is better at 2 benchmarks (GDPval-AA, SWE-Bench Pro).
GPT-5.6 Luna shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.7 Max ($1.25/1M tokens) is 1.3x more expensive than GPT-5.6 Luna ($1.00/1M tokens).
For output processing, Qwen3.7 Max ($3.75/1M tokens) is 1.6x cheaper than GPT-5.6 Luna ($6.00/1M tokens).
In conclusion, GPT-5.6 Luna is more expensive than Qwen3.7 Max.*
* 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 Qwen3.7 Max's 1,000,000 tokens. GPT-5.6 Luna can generate longer responses up to 128,000 tokens, while Qwen3.7 Max is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
GPT-5.6 Luna supports multimodal inputs, whereas Qwen3.7 Max does not.
GPT-5.6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.7 Max
GPT-5.6 Luna
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Qwen3.7 Max was released on 2026-05-19, while GPT-5.6 Luna was released on 2026-07-09.
GPT-5.6 Luna is 2 months newer than Qwen3.7 Max.
May 19, 2026
1 months ago
Jul 9, 2026
1 weeks ago
1mo newerKnowledge Cutoff
When training data ends
GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while Qwen3.7 Max's cutoff date is not specified.
We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without Qwen3.7 Max's cutoff date.
—
Feb 2026
Provider Availability
Qwen3.7 Max is available from Novita, Together. GPT-5.6 Luna is available from OpenAI.
Qwen3.7 Max
GPT-5.6 Luna
Outputs Comparison
Key Takeaways
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
GPT-5.6 Luna
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.7 Max and GPT-5.6 Luna side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.7 Max vs GPT-5.6 Luna.