Model Comparison
Qwen3.7 Max vs GPT-5.5Which is better in 2026?
GPT-5.5 shows notably better performance in the majority of benchmarks. Qwen3.7 Max is 6.0x cheaper per token.
Verdict: Qwen3.7 Max vs GPT-5.5 — which is better?
Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and GPT-5.5 (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 3 benchmarks (GDPval-AA, MCP Atlas, SWE-Bench Pro), while GPT-5.5 is better at 5 benchmarks (Finance Agent v2, GPQA, Humanity's Last Exam, LiveBench, Terminal-Bench 2.0). GPT-5.5 shows notably better performance in the majority of 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-5.5 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 6.0x cheaper per token
- you want the most recent training data — it shipped May 2026
Choose GPT-5.5 if…
- you want the strongest raw capability — it leads on 5 of 8 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.7 Max outperforms in 3 benchmarks (GDPval-AA, MCP Atlas, SWE-Bench Pro), while GPT-5.5 is better at 5 benchmarks (Finance Agent v2, GPQA, Humanity's Last Exam, LiveBench, Terminal-Bench 2.0).
GPT-5.5 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 4.0x cheaper than GPT-5.5 ($5.00/1M tokens).
For output processing, Qwen3.7 Max ($3.75/1M tokens) is 8.0x cheaper than GPT-5.5 ($30.00/1M tokens).
In conclusion, GPT-5.5 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-5.5 accepts 1,050,000 input tokens compared to Qwen3.7 Max's 1,000,000 tokens. GPT-5.5 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-5.5 supports multimodal inputs, whereas Qwen3.7 Max does not.
GPT-5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.7 Max
GPT-5.5
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-5.5 was released on 2026-04-23.
Qwen3.7 Max is 1 month newer than GPT-5.5.
May 19, 2026
1 months ago
3w newerApr 23, 2026
2 months ago
Knowledge Cutoff
When training data ends
GPT-5.5 has a documented knowledge cutoff of 2025-12-01, while Qwen3.7 Max's cutoff date is not specified.
We can confirm GPT-5.5's training data extends to 2025-12-01, but cannot make a direct comparison without Qwen3.7 Max's cutoff date.
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Dec 2025
Provider Availability
Qwen3.7 Max is available from Novita, Together. GPT-5.5 is available from OpenAI.
Qwen3.7 Max
GPT-5.5
Outputs Comparison
Key Takeaways
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
GPT-5.5
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.7 Max and GPT-5.5 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.7 Max vs GPT-5.5.