+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.6 vs GPT-4.1
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 25.2% higher average benchmark score. GPT-4.1 offers 883.7K more tokens in context window than GLM-4.6. GLM-4.6 is $7.40 cheaper per million tokens. Overall, GLM-4.6 is the stronger choice for coding tasks.
+
+
+
+
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-4.1 represents an iterative improvement in the GPT-4 series, developed to refine the foundational capabilities established by GPT-4. Built to incorporate learnings and optimizations from the deployment of previous versions, it continues the evolution of OpenAI's flagship model line with enhanced reliability and performance.
5 months newer
GPT-4.1
OpenAI
2025-04-14
GLM-4.6
Zhipu AI
2025-09-30
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GLM-4.6
Input:$0.60
Output:$2.00($7.40 cheaper)
+
+
+
+
GPT-4.1
Input:$2.00
Output:$8.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
+
+
+
+
GLM-4.6
Average Score:81.0%(+25.2%)
+
+
+
+
GPT-4.1
Average Score:55.8%
Performance comparison across key benchmark categories
+
+
+
+
GLM-4.6
Coding68.0%(+13.4%)
+
+
+
+
GPT-4.1
Coding54.6%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-4.1
2024-06-01
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-4.1
+
+
+
+
GLM-4.6
Avg Score:81.0%(+25.2%)
Providers:2
+
+
+
+
GPT-4.1
Avg Score:55.8%
Providers:1