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DeepSeek R1 Zero vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 22.6% higher average benchmark score. Llama 3.1 405B Instruct is available on 8 providers. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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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 Zero
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 Zero
Average Score:73.3%(+22.6%)
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Llama 3.1 405B Instruct
Average Score:50.7%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Llama 3.1 405B Instruct
8 providers
Bedrock
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DeepSeek R1 Zero
Avg Score:73.3%(+22.6%)
Providers:0
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Llama 3.1 405B Instruct
Avg Score:50.7%
Providers:8