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DeepSeek-V3 vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 21.3% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Performance Metrics
Context window and performance specifications
Average performance across 62 common benchmarks
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DeepSeek-V3
Average Score:21.7%
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Qwen2.5-Omni-7B
Average Score:43.0%(+21.3%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Qwen2.5-Omni-7B
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DeepSeek-V3
Avg Score:21.7%
Providers:1
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Qwen2.5-Omni-7B
Avg Score:43.0%(+21.3%)
Providers:0