+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.1 vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 17.3% higher average benchmark score. DeepSeek-V3.1 offers 71.7K more tokens in context window than Llama 3.1 405B Instruct. DeepSeek-V3.1 is $0.51 cheaper per million tokens. Llama 3.1 405B Instruct is available on 8 providers. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
+
+
+
+
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.
5 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
DeepSeek-V3.1
DeepSeek
2025-01-10
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-V3.1
Input:$0.27
Output:$1.00($0.51 cheaper)
+
+
+
+
Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
DeepSeek-V3.1
Average Score:79.3%(+17.3%)
+
+
+
+
Llama 3.1 405B Instruct
Average Score:62.0%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.1
2 providers
DeepInfra
Novita
+
+
+
+
Llama 3.1 405B Instruct
+
+
+
+
DeepSeek-V3.1
Avg Score:79.3%(+17.3%)
Providers:2
+
+
+
+
Llama 3.1 405B Instruct
Avg Score:62.0%
Providers:8