Model Comparison
GPT-5.6 Sol vs Qwen3.7 MaxWhich is better in 2026?
GPT-5.6 Sol significantly outperforms across most benchmarks. Qwen3.7 Max is 6.0x cheaper per token.
Verdict: GPT-5.6 Sol vs Qwen3.7 Max — which is better?
GPT-5.6 Sol (by OpenAI) and Qwen3.7 Max (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 Sol outperforms in 3 benchmarks (GDPval-AA, GPQA, SWE-Bench Pro), while Qwen3.7 Max is better at 0 benchmarks. GPT-5.6 Sol significantly outperforms across most benchmarks.
On price, Qwen3.7 Max is roughly 6.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Sol 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 Sol if…
- you want the strongest raw capability — it leads on 3 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
Choose Qwen3.7 Max if…
- cost matters — it's about 6.0x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.6 Sol outperforms in 3 benchmarks (GDPval-AA, GPQA, SWE-Bench Pro), while Qwen3.7 Max is better at 0 benchmarks.
GPT-5.6 Sol significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.6 Sol ($5.00/1M tokens) is 4.0x more expensive than Qwen3.7 Max ($1.25/1M tokens).
For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 8.0x more expensive than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, GPT-5.6 Sol 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 Sol accepts 1,050,000 input tokens compared to Qwen3.7 Max's 1,000,000 tokens. GPT-5.6 Sol 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 Sol supports multimodal inputs, whereas Qwen3.7 Max does not.
GPT-5.6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.6 Sol
Qwen3.7 Max
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
GPT-5.6 Sol was released on 2026-07-09, while Qwen3.7 Max was released on 2026-05-19.
GPT-5.6 Sol is 2 months newer than Qwen3.7 Max.
Jul 9, 2026
1 weeks ago
1mo newerMay 19, 2026
2 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Sol 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 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Qwen3.7 Max's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Sol is available from OpenAI. Qwen3.7 Max is available from Novita, Together.
GPT-5.6 Sol
Qwen3.7 Max
Outputs Comparison
Key Takeaways
GPT-5.6 Sol
View detailsOpenAI
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.6 Sol and Qwen3.7 Max side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-5.6 Sol vs Qwen3.7 Max.