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GLM-4.6 vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 38.0% higher average benchmark score. GPT-4.1 mini offers 883.7K more tokens in context window than GLM-4.6. GPT-4.1 mini is $0.60 cheaper per million tokens. 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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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.
5 months newer
GPT-4.1 mini
OpenAI
2025-04-14
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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GPT-4.1 mini
Input:$0.40
Output:$1.60($0.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GLM-4.6
Average Score:81.0%(+38.0%)
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GPT-4.1 mini
Average Score:42.9%
Performance comparison across key benchmark categories
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GLM-4.6
Coding68.0%(+44.4%)
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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-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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GPT-4.1 mini
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GLM-4.6
Avg Score:81.0%(+38.0%)
Providers:2
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GPT-4.1 mini
Avg Score:42.9%
Providers:2