+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-4o mini vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
GPT-4o mini leads with 1.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
+
+
+
+
OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
+
+
+
+
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.
8 months newer
GPT-4o mini
OpenAI
2024-07-18
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
+
+
+
+
GPT-4o mini
Average Score:62.7%(+1.1%)
+
+
+
+
Qwen2.5-Omni-7B
Average Score:61.6%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
+
+
+
+
Qwen2.5-Omni-7B
+
+
+
+
GPT-4o mini
Avg Score:62.7%(+1.1%)
Providers:1
+
+
+
+
Qwen2.5-Omni-7B
Avg Score:61.6%
Providers:0