Comprehensive side-by-side LLM comparison
GPT-OSS-120B leads with 14.1% higher average benchmark score. GPT-4.1 mini offers 900.7K more tokens in context window than GPT-OSS-120B. GPT-4.1 mini is $Infinity cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, GPT-OSS-120B is the stronger choice for coding tasks.
OpenAI
GPT-4.1 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
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.
3 months newer

GPT-4.1 mini
OpenAI
2025-04-14

GPT-OSS-120B
OpenAI
2025-08
Cost per million tokens (USD)
GPT-4.1 mini
GPT-OSS-120B
Context window and performance specifications
Average performance across 1 common benchmarks
GPT-4.1 mini
GPT-OSS-120B
Performance comparison across key benchmark categories
GPT-4.1 mini
GPT-OSS-120B
Available providers and their performance metrics
GPT-4.1 mini
OpenAI
GPT-OSS-120B
GPT-4.1 mini
GPT-OSS-120B
GPT-4.1 mini
GPT-OSS-120B
Hugging Face