+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.6 vs GPT OSS 20B
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 9.5% higher average benchmark score. GPT OSS 20B offers 65.5K more tokens in context window than GLM-4.6. GPT OSS 20B is $2.35 cheaper per million tokens. GLM-4.6 supports multimodal inputs. GPT OSS 20B is available on 4 providers. 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-OSS 20B was created as a smaller open-source variant, designed to balance capability with accessibility for researchers and developers. Built with 20 billion parameters, it provides a more approachable entry point for those seeking to work with open-source language models while benefiting from OpenAI's architectural insights.
1 month newer
GPT OSS 20B
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 20B
Input:$0.05
Output:$0.20($2.35 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
GLM-4.6
Average Score:81.0%(+9.5%)
+
+
+
+
GPT OSS 20B
Average Score:71.5%
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 20B
+
+
+
+
GLM-4.6
Avg Score:81.0%(+9.5%)
Providers:2
+
+
+
+
GPT OSS 20B
Avg Score:71.5%
Providers:4