Model Comparison
Qwen3.7 Max vs GLM-5.2Which is better in 2026?
GLM-5.2 shows notably better performance in the majority of benchmarks. GLM-5.2 is 1.3x cheaper per token.
Verdict: Qwen3.7 Max vs GLM-5.2 — which is better?
Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and GLM-5.2 (by Zhipu AI) 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 2 benchmarks (GPQA, HMMT Feb 26), while GLM-5.2 is better at 6 benchmarks (CritPT, Humanity's Last Exam, IMO-AnswerBench, MCP Atlas, NL2Repo, SWE-Bench Pro). GLM-5.2 shows notably better performance in the majority of benchmarks.
On price, GLM-5.2 is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.2 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Qwen3.7 Max if…
- you want predictable pricing at $1.25/M input and $3.75/M output
Choose GLM-5.2 if…
- you want the strongest raw capability — it leads on 6 of 8 shared benchmarks
- cost matters — it's about 1.3x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jun 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.7 Max outperforms in 2 benchmarks (GPQA, HMMT Feb 26), while GLM-5.2 is better at 6 benchmarks (CritPT, Humanity's Last Exam, IMO-AnswerBench, MCP Atlas, NL2Repo, SWE-Bench Pro).
GLM-5.2 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 GLM-5.2 ($0.95/1M tokens).
For output processing, Qwen3.7 Max ($3.75/1M tokens) is 1.3x more expensive than GLM-5.2 ($3.00/1M tokens).
In conclusion, Qwen3.7 Max is more expensive than GLM-5.2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GLM-5.2 accepts 1,048,576 input tokens compared to Qwen3.7 Max's 1,000,000 tokens. GLM-5.2 can generate longer responses up to 131,072 tokens, while Qwen3.7 Max is limited to 65,536 tokens.
License
Usage and distribution terms
Qwen3.7 Max is licensed under a proprietary license, while GLM-5.2 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Qwen3.7 Max was released on 2026-05-19, while GLM-5.2 was released on 2026-06-16.
GLM-5.2 is 1 month newer than Qwen3.7 Max.
May 19, 2026
1 months ago
Jun 16, 2026
1 months ago
4w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3.7 Max is available from Novita, Together. GLM-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI.
Qwen3.7 Max
GLM-5.2
Outputs Comparison
Key Takeaways
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
GLM-5.2
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.7 Max and GLM-5.2 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.7 Max vs GLM-5.2.