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GLM-4.5 vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 28.9% higher average benchmark score. GPT-4.1 mini offers 818.2K more tokens in context window than GLM-4.5. Both models have similar pricing. GPT-4.1 mini supports multimodal inputs. Overall, GLM-4.5 is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.5 was developed by Zhipu AI as an advanced bilingual language model, designed to excel at both Chinese and English language tasks. Built to serve diverse applications across multiple languages, it represents Zhipu AI's commitment to multilingual AI capabilities.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
3 months newer
GPT-4.1 mini
OpenAI
2025-04-14
GLM-4.5
Zhipu AI
2025-07-28
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Pricing Comparison
Cost per million tokens (USD)
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GLM-4.5
Input:$0.40
Output:$1.60
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GPT-4.1 mini
Input:$0.40
Output:$1.60
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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GLM-4.5
Average Score:74.9%(+28.9%)
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GPT-4.1 mini
Average Score:46.0%
Performance comparison across key benchmark categories
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GLM-4.5
Coding64.2%(+40.6%)
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GPT-4.1 mini
Coding23.6%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
2024-05-31
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-4.5
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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GPT-4.1 mini
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GLM-4.5
Avg Score:74.9%(+28.9%)
Providers:3
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GPT-4.1 mini
Avg Score:46.0%
Providers:2