Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

GPT OSS 120B
OpenAI
GPT OSS 120B is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.1% across 2 benchmarks. Notable strengths include GPQA (71.5%), MMLU (54.8%). It supports a 161K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Qwen2.5-Omni-7B
Alibaba
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Qwen2.5-Omni-7B
Alibaba
2025-03-27

GPT OSS 120B
OpenAI
2025-08-05
4 months newer
Performance Metrics
Context window and performance specifications

GPT OSS 120B

Qwen2.5-Omni-7B
Average performance across 1 common benchmarks

GPT OSS 120B

Qwen2.5-Omni-7B
Performance comparison across key benchmark categories

GPT OSS 120B

Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics

GPT OSS 120B
ZeroEval

Qwen2.5-Omni-7B

GPT OSS 120B

Qwen2.5-Omni-7B