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DeepSeek-R1-0528 vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 36.9% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. DeepSeek-R1-0528 is available on 3 providers. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-0528 represents a specific release iteration of the DeepSeek-R1 model, developed to incorporate refinements and improvements from ongoing training. Built to provide enhanced reasoning capabilities based on accumulated insights, it continues the evolution of DeepSeek's reasoning-focused architecture.
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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
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
DeepSeek-R1-0528
DeepSeek
2025-05-28
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-R1-0528
Average Score:86.5%(+36.9%)
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Qwen2.5-Omni-7B
Average Score:49.6%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1-0528
3 providers
DeepInfra
Throughput: 45.04 tok/s
Latency: 0.61ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Novita
Throughput: 37.96 tok/s
Latency: 1.18ms
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DeepSeek-R1-0528
Avg Score:86.5%(+36.9%)
Providers:3
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Qwen2.5-Omni-7B
Avg Score:49.6%
Providers:0