+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 32B vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 31.3% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, DeepSeek R1 Distill Qwen 32B is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
+
+
+
+
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 32B
DeepSeek
2025-01-20
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 32B
Average Score:62.1%(+31.3%)
+
+
+
+
Qwen2.5-Omni-7B
Average Score:30.8%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
+
+
+
+
Qwen2.5-Omni-7B
+
+
+
+
DeepSeek R1 Distill Qwen 32B
Avg Score:62.1%(+31.3%)
Providers:1
+
+
+
+
Qwen2.5-Omni-7B
Avg Score:30.8%
Providers:0