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DeepSeek R1 Distill Qwen 7B vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 1.6% higher average benchmark score. Llama 3.1 405B Instruct is available on 8 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-7B was developed as a compact distilled model, designed to provide reasoning capabilities in an efficient 7B parameter package. Built to extend analytical AI to a broad range of applications, it balances capability with the practical benefits of a smaller model size.
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Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
6 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
DeepSeek R1 Distill Qwen 7B
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 7B
Average Score:49.1%
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Llama 3.1 405B Instruct
Average Score:50.7%(+1.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 7B
0 providers
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Llama 3.1 405B Instruct
8 providers
Bedrock
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DeepSeek R1 Distill Qwen 7B
Avg Score:49.1%
Providers:0
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Llama 3.1 405B Instruct
Avg Score:50.7%(+1.6%)
Providers:8