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DeepSeek R1 Distill Llama 70B vs Qwen3-Next-80B-A3B-Base
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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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
Qwen3-Next 80B Base was introduced as an experimental base model with 80 billion total parameters and 3 billion active parameters. Built to explore advanced mixture-of-experts architectures, it provides a foundation for fine-tuning and research into efficient large-scale model design.
7 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
2025-09-10
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Performance Metrics
Context window and performance specifications
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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Qwen3-Next-80B-A3B-Base
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DeepSeek R1 Distill Llama 70B
Avg Score:0.0%
Providers:1
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Qwen3-Next-80B-A3B-Base
Avg Score:0.0%
Providers:0