Model Comparison
GPT-5.2 vs Qwen3.7 MaxWhich is better in 2026?
Qwen3.7 Max shows notably better performance in the majority of benchmarks. Qwen3.7 Max is 2.6x cheaper per token.
Verdict: GPT-5.2 vs Qwen3.7 Max — which is better?
GPT-5.2 (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-5.2 outperforms in 1 benchmarks (LiveBench), while Qwen3.7 Max is better at 4 benchmarks (Humanity's Last Exam, MCP Atlas, MMMLU, SWE-Bench Verified). Qwen3.7 Max shows notably better performance in the majority of benchmarks.
On price, Qwen3.7 Max is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.7 Max also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5.2 if…
- you want predictable pricing at $1.75/M input and $14.00/M output
Choose Qwen3.7 Max if…
- you want the strongest raw capability — it leads on 5 of 6 shared benchmarks
- cost matters — it's about 2.6x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped May 2026
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.2 outperforms in 1 benchmarks (LiveBench), while Qwen3.7 Max is better at 4 benchmarks (Humanity's Last Exam, MCP Atlas, MMMLU, SWE-Bench Verified).
Qwen3.7 Max shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.2 ($1.75/1M tokens) is 1.4x more expensive than Qwen3.7 Max ($1.25/1M tokens).
For output processing, GPT-5.2 ($14.00/1M tokens) is 3.7x more expensive than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, GPT-5.2 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
Qwen3.7 Max accepts 1,000,000 input tokens compared to GPT-5.2's 400,000 tokens. GPT-5.2 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-5.2 supports multimodal inputs, whereas Qwen3.7 Max does not.
GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.2
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-5.2 was released on 2025-12-11, while Qwen3.7 Max was released on 2026-05-19.
Qwen3.7 Max is 5 months newer than GPT-5.2.
Dec 11, 2025
7 months ago
May 19, 2026
2 months ago
5mo newerKnowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while Qwen3.7 Max's cutoff date is not specified.
We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without Qwen3.7 Max's cutoff date.
Aug 2025
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Provider Availability
GPT-5.2 is available from OpenAI. Qwen3.7 Max is available from Novita, Together.
GPT-5.2
Qwen3.7 Max
Outputs Comparison
Key Takeaways
GPT-5.2
View detailsOpenAI
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.2 and Qwen3.7 Max side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-5.2 vs Qwen3.7 Max.