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GLM-4.6 vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 32.0% higher average benchmark score. GLM-4.6 offers 57.3K more tokens in context window than Qwen2.5 72B Instruct. Qwen2.5 72B Instruct is $1.85 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Qwen2.5 72B Instruct 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
Qwen 2.5 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
1 year newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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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Qwen2.5 72B Instruct
Input:$0.35
Output:$0.40($1.85 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GLM-4.6
Average Score:81.0%(+32.0%)
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Qwen2.5 72B Instruct
Average Score:49.0%
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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Qwen2.5 72B Instruct
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GLM-4.6
Avg Score:81.0%(+32.0%)
Providers:2
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Qwen2.5 72B Instruct
Avg Score:49.0%
Providers:4