+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.6 vs GPT-5 mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-5 mini offers 331.4K more tokens in context window than GLM-4.6. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
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)
+
+
+
+
GLM-4.6
Input:$0.60
Output:$2.00
+
+
+
+
GPT-5 mini
Input:$0.25
Output:$2.00($0.35 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
GLM-4.6
Average Score:87.5%(+0.8%)
+
+
+
+
GPT-5 mini
Average Score:86.7%
+
+
+
+
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
+
+
+
+
GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
GPT-5 mini
+
+
+
+
GLM-4.6
Avg Score:87.5%(+0.8%)
Providers:2
+
+
+
+
GPT-5 mini
Avg Score:86.7%
Providers:2