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DeepSeek-V3.1 vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 33.9% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. DeepSeek-V3.1 is available on 2 providers. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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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
DeepSeek-V3.1
DeepSeek
2025-01-10
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.1
Average Score:83.5%(+33.9%)
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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-V3.1
2 providers
DeepInfra
Novita
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Qwen2.5-Omni-7B
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DeepSeek-V3.1
Avg Score:83.5%(+33.9%)
Providers:2
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Qwen2.5-Omni-7B
Avg Score:49.6%
Providers:0