+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 1.5B vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 1.5B leads with 3.0% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
+
+
+
+
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.
2 months newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 1 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 1.5B
Average Score:33.8%(+3.0%)
+
+
+
+
Qwen2.5-Omni-7B
Average Score:30.8%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Qwen 1.5B
0 providers
+
+
+
+
Qwen2.5-Omni-7B
0 providers
+
+
+
+
DeepSeek R1 Distill Qwen 1.5B
Avg Score:33.8%(+3.0%)
Providers:0
+
+
+
+
Qwen2.5-Omni-7B
Avg Score:30.8%
Providers:0