Model Comparison
Qwen3.7 Max vs GPT-5.6 TerraWhich is better in 2026?
GPT-5.6 Terra significantly outperforms across most benchmarks. Qwen3.7 Max is 3.0x cheaper per token.
Verdict: Qwen3.7 Max vs GPT-5.6 Terra — which is better?
Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and GPT-5.6 Terra (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 0 benchmarks, while GPT-5.6 Terra is better at 3 benchmarks (GDPval-AA, GPQA, SWE-Bench Pro). GPT-5.6 Terra significantly outperforms across most benchmarks.
On price, Qwen3.7 Max is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Terra 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 3.0x cheaper per token
Choose GPT-5.6 Terra 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
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.7 Max outperforms in 0 benchmarks, while GPT-5.6 Terra is better at 3 benchmarks (GDPval-AA, GPQA, SWE-Bench Pro).
GPT-5.6 Terra significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.7 Max ($1.25/1M tokens) is 2.0x cheaper than GPT-5.6 Terra ($2.50/1M tokens).
For output processing, Qwen3.7 Max ($3.75/1M tokens) is 4.0x cheaper than GPT-5.6 Terra ($15.00/1M tokens).
In conclusion, GPT-5.6 Terra 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 Terra accepts 1,050,000 input tokens compared to Qwen3.7 Max's 1,000,000 tokens. GPT-5.6 Terra 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 Terra supports multimodal inputs, whereas Qwen3.7 Max does not.
GPT-5.6 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.7 Max
GPT-5.6 Terra
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 Terra was released on 2026-07-09.
GPT-5.6 Terra 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 Terra 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 Terra'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 Terra is available from OpenAI.
Qwen3.7 Max
GPT-5.6 Terra
Outputs Comparison
Key Takeaways
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.7 Max and GPT-5.6 Terra 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 Terra.