+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT OSS 20B vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 40.7% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. GPT OSS 20B is available on 4 providers. Overall, GPT OSS 20B is the stronger choice for coding tasks.
+
+
+
+
OpenAI
GPT-OSS 20B was created as a smaller open-source variant, designed to balance capability with accessibility for researchers and developers. Built with 20 billion parameters, it provides a more approachable entry point for those seeking to work with open-source language models while benefiting from OpenAI's architectural insights.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
4 months newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
GPT OSS 20B
OpenAI
2025-08-05
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
GPT OSS 20B
Average Score:71.5%(+40.7%)
+
+
+
+
Qwen2.5-Omni-7B
Average Score:30.8%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT OSS 20B
4 providers
Groq
Throughput: 1000 tok/s
Latency: 0.38ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 1000 tok/s
Latency: 0.38ms
+
+
+
+
+
+
GPT OSS 20B
Avg Score:71.5%(+40.7%)
Providers:4
+
+
+
+
Qwen2.5-Omni-7B
Avg Score:30.8%
Providers:0