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DeepSeek-V3.2-Exp vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 43.6% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
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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.
6 months newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:82.5%(+43.6%)
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Qwen2.5-Omni-7B
Average Score:38.9%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Qwen2.5-Omni-7B
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DeepSeek-V3.2-Exp
Avg Score:82.5%(+43.6%)
Providers:2
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Qwen2.5-Omni-7B
Avg Score:38.9%
Providers:0