Model Comparison
GPT OSS 120B vs QwQ-32B
GPT OSS 120B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT OSS 120B outperforms in 1 benchmarks (GPQA), while QwQ-32B is better at 0 benchmarks.
GPT OSS 120B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
GPT OSS 120B has 84.3B more parameters than QwQ-32B, making it 259.4% 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
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT OSS 120B was released on 2025-08-05, while QwQ-32B was released on 2025-03-05.
GPT OSS 120B is 5 months newer than QwQ-32B.
Aug 5, 2025
8 months ago
5mo newerMar 5, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
QwQ-32B has a documented knowledge cutoff of 2024-11-28, while GPT OSS 120B's cutoff date is not specified.
We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without GPT OSS 120B's cutoff date.
—
Nov 2024
Outputs Comparison
Key Takeaways
GPT OSS 120B
View detailsOpenAI
QwQ-32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT OSS 120B vs QwQ-32B