GPT OSS 120B vs Qwen2.5-Omni-7B
GPT OSS 120B leads the LLM Stats Score 28.3 to 4.8.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT OSS 120B leads the overall LLM Stats Score 28.3 to 4.8, ranking #167 overall.
In the 1 individual benchmarks reported for both models, GPT OSS 120B wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT OSS 120B
- overall performance matters — it scores 28.3 and ranks #167 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Aug 2025
Choose Qwen2.5-Omni-7B
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for GPT OSS 120B · 45 for Qwen2.5-Omni-7B
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.
Human preference
Blind head-to-head votes and playground preference scores
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
Documented input modalities across available providers
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
1.2 years ago
4mo newerMar 27, 2025
1.6 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
Judge for yourself.
Run your own prompts against GPT OSS 120B and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT OSS 120B vs Qwen2.5-Omni-7B.