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GLM-4.6 vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 44.6% higher average benchmark score. GLM-4.6 offers 57.3K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $2.00 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
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
1 year newer
Qwen2.5 7B 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 7B Instruct
Input:$0.30
Output:$0.30($2.00 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%(+44.6%)
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Qwen2.5 7B Instruct
Average Score:36.4%
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 7B Instruct
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GLM-4.6
Avg Score:81.0%(+44.6%)
Providers:2
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Qwen2.5 7B Instruct
Avg Score:36.4%
Providers:1