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DeepSeek-R1-0528 vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 21.0% higher average benchmark score. DeepSeek-R1-0528 offers 6.1K more tokens in context window than Llama 3.1 405B Instruct. Llama 3.1 405B Instruct is $0.87 cheaper per million tokens. Llama 3.1 405B Instruct is available on 8 providers. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-0528 represents a specific release iteration of the DeepSeek-R1 model, developed to incorporate refinements and improvements from ongoing training. Built to provide enhanced reasoning capabilities based on accumulated insights, it continues the evolution of DeepSeek's reasoning-focused architecture.
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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.
10 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
DeepSeek-R1-0528
DeepSeek
2025-05-28
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1-0528
Input:$0.50
Output:$2.15
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89($0.87 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-R1-0528
Average Score:83.0%(+21.0%)
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Llama 3.1 405B Instruct
Average Score:62.0%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1-0528
3 providers
DeepInfra
Throughput: 45.04 tok/s
Latency: 0.61ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Novita
Throughput: 37.96 tok/s
Latency: 1.18ms
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DeepSeek-R1-0528
Avg Score:83.0%(+21.0%)
Providers:3
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Llama 3.1 405B Instruct
Avg Score:62.0%
Providers:8