Model Comparison
GLM-4.5 vs Qwen3 32BWhich is better in 2026?
GLM-4.5 significantly outperforms across most benchmarks. Qwen3 32B is 4.7x cheaper per token.
Verdict: GLM-4.5 vs Qwen3 32B — which is better?
GLM-4.5 (by Zhipu AI) and Qwen3 32B (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.
GLM-4.5 outperforms in 2 benchmarks (AIME 2024, LiveCodeBench), while Qwen3 32B is better at 0 benchmarks. GLM-4.5 significantly outperforms across most benchmarks.
On price, Qwen3 32B is roughly 4.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-4.5 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose GLM-4.5 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Jul 2025
Choose Qwen3 32B if…
- cost matters — it's about 4.7x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
GLM-4.5 outperforms in 2 benchmarks (AIME 2024, LiveCodeBench), while Qwen3 32B is better at 0 benchmarks.
GLM-4.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-4.5 ($0.40/1M tokens) is 4.0x more expensive than Qwen3 32B ($0.10/1M tokens).
For output processing, GLM-4.5 ($1.60/1M tokens) is 5.3x more expensive than Qwen3 32B ($0.30/1M tokens).
In conclusion, GLM-4.5 is more expensive than Qwen3 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-4.5 has 322.2B more parameters than Qwen3 32B, making it 982.3% larger.
Context Window
Maximum input and output token capacity
GLM-4.5 accepts 131,072 input tokens compared to Qwen3 32B's 128,000 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while Qwen3 32B is limited to 128,000 tokens.
License
Usage and distribution terms
GLM-4.5 is licensed under MIT, while Qwen3 32B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
GLM-4.5 was released on 2025-07-28, while Qwen3 32B was released on 2025-04-29.
GLM-4.5 is 3 months newer than Qwen3 32B.
Jul 28, 2025
10 months ago
3mo newerApr 29, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-4.5 is available from DeepInfra, Fireworks, Novita. Qwen3 32B is available from DeepInfra, Novita, Sambanova.
GLM-4.5
Qwen3 32B
Outputs Comparison
Key Takeaways
GLM-4.5
View detailsZhipu AI
Qwen3 32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
FAQ
Common questions about GLM-4.5 vs Qwen3 32B.