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DeepSeek R1 Distill Llama 70B vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 34.4% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, DeepSeek R1 Distill Llama 70B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
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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 R1 Distill Llama 70B
DeepSeek
2025-01-20
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 1 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:65.2%(+34.4%)
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Qwen2.5-Omni-7B
Average Score:30.8%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Qwen2.5-Omni-7B
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DeepSeek R1 Distill Llama 70B
Avg Score:65.2%(+34.4%)
Providers:1
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Qwen2.5-Omni-7B
Avg Score:30.8%
Providers:0