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GLM-4.6 vs Qwen3 32B
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 21.0% higher average benchmark score. Qwen3 32B offers 59.4K more tokens in context window than GLM-4.6. Qwen3 32B is $2.20 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Overall, GLM-4.6 is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.6 was introduced as an enhanced iteration of the GLM-4 series, designed to provide improved capabilities in bilingual language understanding and generation. Built to incorporate refinements to the GLM architecture, it represents continued advancement in Zhipu AI's model development.
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Alibaba Cloud / Qwen Team
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
5 months newer
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
GLM-4.6
Zhipu AI
2025-09-30
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Pricing Comparison
Cost per million tokens (USD)
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GLM-4.6
Input:$0.60
Output:$2.00
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Qwen3 32B
Input:$0.10
Output:$0.30($2.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GLM-4.6
Average Score:93.9%(+21.0%)
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Qwen3 32B
Average Score:72.9%
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Qwen3 32B
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GLM-4.6
Avg Score:93.9%(+21.0%)
Providers:2
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Qwen3 32B
Avg Score:72.9%
Providers:3