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GLM-4.6 vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 24.5% 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, Qwen2.5 7B Instruct is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 year newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GLM-4.6
Zhipu AI
2025-09-30
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 20 common benchmarks
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GLM-4.6
Average Score:21.4%
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Qwen2.5 7B Instruct
Average Score:45.9%(+24.5%)
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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Qwen2.5 7B Instruct
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GLM-4.6
Avg Score:21.4%
Providers:2
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Qwen2.5 7B Instruct
Avg Score:45.9%(+24.5%)
Providers:1