Model Comparison
Qwen3.6 Plus vs GLM-5.2Which is better in 2026?
GLM-5.2 significantly outperforms across most benchmarks. Qwen3.6 Plus is 1.3x cheaper per token.
Verdict: Qwen3.6 Plus vs GLM-5.2 — which is better?
Qwen3.6 Plus (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.
Qwen3.6 Plus outperforms in 1 benchmarks (HMMT 2025), while GLM-5.2 is better at 10 benchmarks (AIME 2026, FrontierSWE, GPQA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, MCP Atlas, NL2Repo, SWE-Bench Pro, Toolathlon). GLM-5.2 significantly outperforms across most benchmarks.
On price, Qwen3.6 Plus 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 Qwen3.6 Plus if…
- cost matters — it's about 1.3x cheaper per token
Choose GLM-5.2 if…
- you want the strongest raw capability — it leads on 10 of 11 shared benchmarks
- 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
Qwen3.6 Plus outperforms in 1 benchmarks (HMMT 2025), while GLM-5.2 is better at 10 benchmarks (AIME 2026, FrontierSWE, GPQA, HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, MCP Atlas, NL2Repo, SWE-Bench Pro, Toolathlon).
GLM-5.2 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.6 Plus ($0.50/1M tokens) is 1.9x cheaper than GLM-5.2 ($0.95/1M tokens).
For output processing, Qwen3.6 Plus ($3.00/1M tokens) costs the same as GLM-5.2 ($3.00/1M tokens).
In conclusion, GLM-5.2 is more expensive than Qwen3.6 Plus.*
* 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 Qwen3.6 Plus's 1,000,000 tokens. GLM-5.2 can generate longer responses up to 131,072 tokens, while Qwen3.6 Plus is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Qwen3.6 Plus supports multimodal inputs, whereas GLM-5.2 does not.
Qwen3.6 Plus can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.6 Plus
GLM-5.2
License
Usage and distribution terms
Qwen3.6 Plus 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
Qwen3.6 Plus was released on 2026-03-31, while GLM-5.2 was released on 2026-06-16.
GLM-5.2 is 3 months newer than Qwen3.6 Plus.
Mar 31, 2026
3 months ago
Jun 16, 2026
1 months ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3.6 Plus is available from Together. GLM-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI.
Qwen3.6 Plus
GLM-5.2
Outputs Comparison
Key Takeaways
Qwen3.6 Plus
View detailsAlibaba Cloud / Qwen Team
GLM-5.2
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.6 Plus and GLM-5.2 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.6 Plus vs GLM-5.2.