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GPT-5 Mini vs GPT-OSS-120B
Comprehensive side-by-side LLM comparison
GPT-5 Mini offers 300.7K more tokens in context window than GPT-OSS-120B. GPT-5 Mini is $Infinity cheaper per million tokens. GPT-5 Mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5 mini, released by OpenAI in August 2025, is a smaller variant from the GPT-5 family that inherits GPT-5's unified reasoning architecture and multimodal capabilities at a reduced inference cost. It targets high-volume production use cases requiring a balance of intelligence and response speed, offering GPT-5 capabilities for applications where full GPT-5 inference costs are a concern.
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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.
Launched on the same date
GPT-5 Mini
OpenAI
2025-08
GPT-OSS-120B
OpenAI
2025-08
Pricing Comparison
Cost per million tokens (USD)
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GPT-5 Mini
Input:$5.00
Output:$20.00($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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GPT-5 Mini
1 providers
OpenAI
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GPT-OSS-120B
1 providers
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GPT-5 Mini
Avg Score:0.0%
Providers:1
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GPT-OSS-120B
Avg Score:0.0%
Providers:1