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GLM-4.6 vs GPT-5 mini
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 12.9% higher average benchmark score. GPT-5 mini offers 331.4K more tokens in context window than GLM-4.6. Both models have similar pricing. Overall, GLM-4.6 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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OpenAI
GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). It supports a 528K 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. Released in 2025, it represents OpenAI's latest advancement in AI technology.
1 month newer
GPT-5 mini
OpenAI
2025-08-07
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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GPT-5 mini
Input:$0.25
Output:$2.00($0.35 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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GLM-4.6
Average Score:42.9%(+12.9%)
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GPT-5 mini
Average Score:30.0%
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
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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GPT-5 mini
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GLM-4.6
Avg Score:42.9%(+12.9%)
Providers:2
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GPT-5 mini
Avg Score:30.0%
Providers:2