+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.6 vs o1
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 15.0% higher average benchmark score. o1 offers 103.4K more tokens in context window than GLM-4.6. GLM-4.6 is $72.40 cheaper per million tokens. GLM-4.6 supports multimodal inputs. 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
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
9 months newer
o1
OpenAI
2024-12-17
GLM-4.6
Zhipu AI
2025-09-30
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GLM-4.6
Input:$0.60
Output:$2.00($72.40 cheaper)
+
+
+
+
o1
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
GLM-4.6
Average Score:74.5%(+15.0%)
+
+
+
+
o1
Average Score:59.5%
Performance comparison across key benchmark categories
+
+
+
+
GLM-4.6
Coding68.0%(+27.0%)
+
+
+
+
o1
Coding41.0%
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
+
+
+
+
o1
+
+
+
+
GLM-4.6
Avg Score:74.5%(+15.0%)
Providers:2
+
+
+
+
o1
Avg Score:59.5%
Providers:2