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GLM-4.6 vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 23.0% higher average benchmark score. Qwen3 235B A22B offers 59.4K more tokens in context window than GLM-4.6. Qwen3 235B A22B is $2.40 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. 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 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
5 months newer
Qwen3 235B A22B
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 235B A22B
Input:$0.10
Output:$0.10($2.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GLM-4.6
Average Score:87.5%(+23.0%)
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Qwen3 235B A22B
Average Score:64.5%
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 235B A22B
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GLM-4.6
Avg Score:87.5%(+23.0%)
Providers:2
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Qwen3 235B A22B
Avg Score:64.5%
Providers:4