Model Comparison
GPT OSS 120B vs Qwen2.5-Omni-7B
GPT OSS 120B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT OSS 120B outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B 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 109.8B more parameters than Qwen2.5-Omni-7B, making it 1568.6% 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).
Input Capabilities
Supported data types and modalities
Qwen2.5-Omni-7B supports multimodal inputs, whereas GPT OSS 120B does not.
Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT OSS 120B
Qwen2.5-Omni-7B
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 Qwen2.5-Omni-7B was released on 2025-03-27.
GPT OSS 120B is 4 months newer than Qwen2.5-Omni-7B.
Aug 5, 2025
8 months ago
4mo newerMar 27, 2025
1.1 years 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
Qwen2.5-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT OSS 120B vs Qwen2.5-Omni-7B