+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.7 vs GPT-OSS-20B
Comprehensive side-by-side LLM comparison
GLM-4.7 offers 72.0K more tokens in context window than GPT-OSS-20B. GLM-4.7 is $Infinity cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Zhipu AI
GLM-4.7, released by Zhipu AI on December 22, 2025, is a large language model with approximately 400 billion parameters from the GLM-4 family, designed for deep mathematical reasoning, multi-file software engineering, and stable agentic orchestration. It features a 200K token context window and 128K maximum output tokens, supporting extended code and analysis generation. GLM-4.7 targets advanced open-source deployments under an MIT license via Zhipu AI's Z.ai platform.
+
+
+
+
OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
4 months newer
GPT-OSS-20B
OpenAI
2025-08-05
GLM-4.7
Zhipu AI
2025-12-22
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GLM-4.7
Input:$0.50
Output:$0.50($Infinity cheaper)
+
+
+
+
GPT-OSS-20B
Input:$Infinity
Output:$Infinity
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GLM-4.7
1 providers
Zhipu AI
+
+
+
+
GPT-OSS-20B
1 providers
+
+
+
+
GLM-4.7
Avg Score:0.0%
Providers:1
+
+
+
+
GPT-OSS-20B
Avg Score:0.0%
Providers:1