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GLM-4.6 vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 19.4% higher average benchmark score. GLM-4.6 offers 49.2K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Qwen3-235B-A22B-Instruct-2507 is $1.65 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 235B Instruct was created as the instruction-tuned version of Qwen3 235B, designed to follow user instructions while leveraging the model's large-scale architecture. Built to provide advanced instruction-following with efficient mixture-of-experts design, it serves applications requiring both capability and practical deployment.
2 months newer
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
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-Instruct-2507
Input:$0.15
Output:$0.80($1.65 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GLM-4.6
Average Score:85.9%(+19.4%)
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Qwen3-235B-A22B-Instruct-2507
Average Score:66.5%
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-Instruct-2507
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GLM-4.6
Avg Score:85.9%(+19.4%)
Providers:2
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Qwen3-235B-A22B-Instruct-2507
Avg Score:66.5%
Providers:1