Model Comparison
GPT OSS 120B vs MiniMax M1 40K
GPT OSS 120B shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT OSS 120B outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while MiniMax M1 40K is better at 0 benchmarks.
GPT OSS 120B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
MiniMax M1 40K has 339.2B more parameters than GPT OSS 120B, making it 290.4% larger.
Context Window
Maximum input and output token capacity
Only GPT OSS 120B specifies input context (131,072 tokens). Only GPT OSS 120B specifies output context (131,072 tokens).
License
Usage and distribution terms
GPT OSS 120B is licensed under Apache 2.0, while MiniMax M1 40K uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
GPT OSS 120B was released on 2025-08-05, while MiniMax M1 40K was released on 2025-06-16.
GPT OSS 120B is 2 months newer than MiniMax M1 40K.
Aug 5, 2025
9 months ago
1mo newerJun 16, 2025
11 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
GPT OSS 120B
View detailsOpenAI
MiniMax M1 40K
View detailsMiniMax
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about GPT OSS 120B vs MiniMax M1 40K.