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GLM-4.7 vs GPT-OSS-120B
Comprehensive side-by-side LLM comparison
GLM-4.7 offers 72.0K more tokens in context window than GPT-OSS-120B. GLM-4.7 is $Infinity cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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.
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OpenAI
GPT-OSS-120B, released by OpenAI in August 2025, is an open-weight large language model with 120 billion parameters distributed under the Apache 2.0 license. It represents OpenAI's entry into the open-source model space, enabling developers to self-host and fine-tune a GPT-5-generation-class model. GPT-OSS-120B targets research applications, on-premises deployments, and custom fine-tuning workflows requiring a large open-weight base model.
4 months newer
GPT-OSS-120B
OpenAI
2025-08
GLM-4.7
Zhipu AI
2025-12-22
Pricing Comparison
Cost per million tokens (USD)
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GLM-4.7
Input:$0.50
Output:$0.50($Infinity cheaper)
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GPT-OSS-120B
Input:$Infinity
Output:$Infinity
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.7
1 providers
Zhipu AI
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GPT-OSS-120B
1 providers
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GLM-4.7
Avg Score:0.0%
Providers:1
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GPT-OSS-120B
Avg Score:0.0%
Providers:1