Model Comparison
GPT OSS 120B vs Phi 4 Mini
GPT OSS 120B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT OSS 120B outperforms in 2 benchmarks (GPQA, MMLU), while Phi 4 Mini is better at 0 benchmarks.
GPT OSS 120B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
GPT OSS 120B has 113.0B more parameters than Phi 4 Mini, making it 2941.7% 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 Phi 4 Mini 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 Phi 4 Mini was released on 2025-02-01.
GPT OSS 120B is 6 months newer than Phi 4 Mini.
Aug 5, 2025
9 months ago
6mo newerFeb 1, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while GPT OSS 120B's cutoff date is not specified.
We can confirm Phi 4 Mini's training data extends to 2024-06-01, but cannot make a direct comparison without GPT OSS 120B's cutoff date.
—
Jun 2024
Outputs Comparison
Key Takeaways
GPT OSS 120B
View detailsOpenAI
Phi 4 Mini
View detailsMicrosoft
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 Phi 4 Mini.