+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.6 vs GPT OSS 120B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT OSS 120B offers 65.5K more tokens in context window than GLM-4.6. GPT OSS 120B is $2.06 cheaper per million tokens. GLM-4.6 supports multimodal inputs. GPT OSS 120B is available on 5 providers. 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-OSS 120B was developed as an open-source model release from OpenAI, designed to provide the research and developer community with access to a capable language model. Built with 120 billion parameters, it enables experimentation, fine-tuning, and deployment in contexts where open-source licensing and transparency are valued.
1 month newer
GPT OSS 120B
OpenAI
2025-08-05
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 OSS 120B
Input:$0.09
Output:$0.45($2.06 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
GLM-4.6
Average Score:81.0%(+0.9%)
+
+
+
+
GPT OSS 120B
Average Score:80.1%
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 OSS 120B
+
+
+
+
GLM-4.6
Avg Score:81.0%(+0.9%)
Providers:2
+
+
+
+
GPT OSS 120B
Avg Score:80.1%
Providers:5